38 results about "Stemming" patented technology

The invention relates to an anhydrous stemming for a blast furnace. The anhydrous stemming is prepared from the following raw materials in percentages by weight: 30-40 percent of high-alumina bauxite, 10-15 percent of high-purity silicon carbide, 20-25 percent of soft clay, 10-25 percent of carbonaceous material, 5-15 percent of submicron powder, 15-25 percent of binding agent, and additionally silicon metal powder addictives accounting for 1-3 percent of the total weight of the raw materials. The anhydrous stemming has the advantages of favorable high-temperature fire performance, linearity change ratio of lower than 0.3 percent under the condition of 1400 DEG C*2h, breaking strength of more than or equal to 10MPa, high intensity, slag-iron resistant scouring, easy sintering, excellent work performance, less pollution and low production cost, and is beneficial to environment protection as well as popularization and application.

The invention relates to a microblog theme emotion analysis method based on mixed characteristic calculation. The method comprises the following steps of (1) preprocessing microblog data: extracting microblog characteristics by applying Chinese words segmentation, English stemming and emotion extraction technologies, and utilizing priori knowledge to carry out initial assignment on the emotion and the theme of the microblog characteristics; (2) initializing algorithm parameters; (3) utilizing a Gibbs sampling technology to carry out valuation on joint distributions A and H of the parameters of a multi-characteristic theme emotion model MfJST; and (4) judging emotion polarity of each microblog through the appearance probability of the emotion polarity in the microblog; and detecting an implied theme of a microblog message through carrying out marginalization about a microblog emotion variable on the joint distribution A. according to the method, the concealed theme concerned by a user and the concealed real emotion of the user in the microblog message can be effectively excavated, the method is applied to various social media, such as Twitter and Sina microblog, the online public opinion monitoring can be optimized, and the information service quality can be improved.

A multi-lingual indexing and search system performs tokenization and stemming in a manner which is independent of whether index entries and search terms appear as words in a dictionary. During the tokenization phase of the process, a string of text is separated into individual word tokens, and predetermined types of tokens are eliminated from further processing. The stemming phase of the process reduces words to grammatical stems by removing known word-endings associated with the various languages to be supported. Known word endings are removed from the word tokens without any effort to guarantee that the remaining stem is contained in a dictionary. In a preferred implementation, the stemming process is only applied to nouns.

Computerized systems and methods are disclosed for performing contextual classification of objects using supervised and unsupervised training. In accordance with one implementation, content reviewers may review training objects and submit supervised training data for preprocessing and analysis. The supervised training data may be preprocessed to identify key terms and phrases, such as by stemming, tokenization, or n-gram analysis, and form vectorized objects. The vectorized objects may be used to train one or more models for subsequent classification of objects. In certain implementations, preprocessing or training, among other steps, may be performed in parallel over multiple machines to improve efficiency. The disclosed systems and methods may be used in a wide variety of applications, such as article classification and content moderation.

The invention discloses an anhydrous stemming, which is composed of the following raw materials in percentage by weight: 7 to 10% of coke foam with a particle size of 0 to 2 mm; 5 to 10% of sericite with a particle size of 200 meshes; 3 to 5% of alumina, 5 to 10% of silicon carbide with a particle size of 200 meshes, 10% of high aluminum bauxite with a particle size of 1 to 3 mm; 10 to 15% of high aluminum bauxite with a particle size of 0 to 1 mm; 5 to 10% of high aluminum bauxite with a particle size of 200 meshes; 5 to 10% of brown aluminum oxide with a particle size of 200 meshes; 2 to 4% of metal silicon powder with a particle size of 200 meshes; 4 to 6% of asphalt powder, 2 to 4% of kyanite with a particle size of 40 to 70 meshes; 2 to 4% of soil like graphite; 5 to 10% of clay; 5 to 10% of bentonite; and 5 to 10% of ferro-silicon nitride. The anhydrous stemming also comprises a bonding agent accounting for 10 to 15% of the total weight of abovementioned raw materials. The anhydrous stemming has an excellent performance on resisting iron slag scouring and corrosion.

A cylindrical casing (18) has first and second ends (33 and 31), the first end (33) being closed. The casing (18) encloses an accelerant (22) disposed adjacent the first end (33), at least one stemming mechanism (21), and a fuse (14 or 14′) extending from the accelerant (22) out of the second end (31) of the cylindrical casing (18). The cartridge (12) is made of a rupturable cylindrical casing (18) with accelerant (22) and self-stemming mechanism (22) inserted therein. A method of breaking hard (R) materials involves detonating a self-stemming cartridge (12) disposed in a borehole (B).

Method for identifying search candidates, including receiving a content that includes unprocessed content, markup elements and element styles; identifying raw content; applying content styles to the markup elements to determine which sequence of parts of content produces compact logically linked and visually bounded parts of the content; performing syntactic analysis to generate parsing trees; performing morphological analysis to determine parts of speech and word morphology in bounded parts; performing stemming on the parts of speech and constructing chains that meet grammar rules; identifying zests and calculating weights of the zests; applying weights to the chains to determine zests; adjusting the weights based on a distance from a point of user interaction with the content; selecting zests with the highest weight and degree of belonging to a region around the point of interaction; adjusting zests near the point of interaction and using it for selection of information to display.

The invention relates to stemming for inhibiting the splashing of an iron notch. The stemming comprises the following components in parts by weight: 15-25 parts of high-aluminum granules, 10-15 parts of alumina powder, 10-25 parts of silicon carbide, 13-20 parts of coke, 2-7 parts of quartz sand, 10-18 parts of clay, 12-20 parts of additives, 7-14 parts of tar and 2-7 parts of phenolic resin, wherein the additives comprise the following components in parts by weight: 1-3 parts of metallic silicon, 0.4-0.6 part of boron carbide, 2-8 parts of asphalt, 0-5 parts of silicon nitride and 2-8 parts of kyanite. The stemming disclosed by the invention is capable of generating a proper quantity of glass phase components at a high temperature; under the precondition that high temperature property is not influenced, the layer of glass phase in contact with molten iron can effectively plug various crackles of an iron notch channel and thus can prevent the splashing caused by gas moving; in addition, the stemming has the advantages of proper microdilatancy effect and medium-high temperature intensity.

The invention discloses anhydrous stemming and a preparation method of the anhydrous stemming. The anhydrous stemming is prepared from the following raw materials in parts by weight: 20 to 50 parts of a high-aluminum-content material, 10 to 30 parts of silicon carbide, 5 to 20 parts of coke, 8 to 25 parts of ferro-silicon nitride, 5 to 12 parts of ball clay, 3 to 10 parts of pottery clay, 3 to 10 parts of sericite, 3 to 8 parts of cyanite, 2 to 5 parts of carbon-containing resin powder, 8 to 12 parts of carbon black oil, 1 to 3 parts of ethylene glycol, 3 to 5 parts of anthracene oil, 0.3 to 1.0 part of an interface agent and 0.2 to 0.5 part of a plasticizer; the preparation method comprises the following steps: pre-mixing the carbon black oil, the ethylene glycol and the anthracene oil according to a weight ratio to form mixed oil for later use; weighing the raw materials, adding the raw materials into a mixing mill for dry mixing for 3min; adding the mixed oil and mixing and grinding for 15min to 20min; adding the plasticizer and stirring for 3min to 5min; forming a product after the detection is qualified. The anhydrous stemming is safe to human bodies and environment, has high performance and low consumption and has good molten slag corrosion resistance and scouring resistance.

Illustrated embodiments provide a computer implemented method, an apparatus, and a computer program product for unsupervised stemming schema learning and lexicon acquisition from corpora. In one illustrative embodiment, the computer implemented method obtains a corpus from corpora, analyzes the corpus to deduce a set of possible stemming schema and reviews and revises the set of possible stemming schema, to create a pruned set of stemming schema. The computer implemented method further deduces a lexicon from the corpus using the pruned set of stemming schema.

An embodiment of the invention provides environment-friendly functional anhydrous stemming and a preparation method thereof. The anhydrous stemming is prepared from specific components by mass as follows: 20-30 parts of corundum or alumina, 5-10 parts of corundum or alumina dusting powder, 5-10 parts of silicon carbide, 5-10 parts of pyrophyllite, 5-10 parts of modified alumina powder, 5-8 parts of carbide dusting powder, 1-3 parts of phenolic resin powder, 0-20 parts of ferro-silicon nitride, 5-15 parts of soft clay, 3-7 parts of kyanite, 3-15 parts of dry quenched coke, 0-5 parts of sericite, 5-15 parts of aluminum and titanium slag and 15-20 parts of modified resin. A taphole channel maintaining and repairing function is further developed besides the characteristics of traditional stemming, the anhydrous stemming is multifunctional, various recycled industrial materials are used, efficient use of material value is realized, and energy saving and environmental protection are realized.

The invention discloses a method and device for searching UI modules with similar functions between different platforms. The method comprises the following steps: extracting keywords by carrying out text analysis on documents of the UI modules, recording the word frequency of each keyword, carrying out morphological reduction on the keywords, and carrying out synonym combination on the reduced keywords so as to obtain characteristic keywords and corresponding word frequency to construct characteristic vectors; and calculating the similarity between the UI modules of two different platforms according to the characteristic vector corresponding to each UI. According to the method and device, morphological reduction is carried out on the words and expressions in the documents, and through a stem extracting technology, the words and expressions in different forms are summed into a keyword, so that not only the dimensions of the keywords are decreased, but better similarity comparing result also can be generated; and through the processing carried out on the synonyms in the texts, the similarity of the similar texts can be increased.

A system for stemming words of Semitic languages, the system including an affix scanner configured to scan a word of a Semitic language for at least one affix according to a predefined scanning sequence and determine if at least one predefined scanning criterion is met, and a stemmer configured to remove the affix from the word if the predefined scanning criterion is met.

The present invention provides for the generation of structured query results using lexical clustering which includes collecting one or more search queries and data associated with the one or more search queries. The present invention further includes preprocessing the one or more queries into a canonicalized form of each of the one or more queries. The canonicalized form of each of the one or more queries may be accomplished using stemming, punctuation, pluralization, word order or other canonicalization rules. The present invention further includes building a lexical index of the one or more search queries and data associated with the one or more search queries and mining the lexical index of the one or more search queries and data associated with the one or more search queries in order to generate a structured query result set.

The invention discloses high-efficiency chemical water-stemming which comprises an outer packaging film (1) and a liquid (2), wherein the liquid (2) is sealed in the outer packaging film (1); the liquid (2) comprises components in parts by weight as follows: 6-8 parts of a smoke eliminating agent, 6-9 parts of a flame eliminating agent, 5-7 parts of a foaming agent, 6-7 parts of a detergent, 7-9 parts of a dust depressor and 60-70 parts of water; the main component of the smoke eliminating agent is a mixture of sodium carbonate, sodium hydrogen carbonate, sodium phosphate and sodium silicate; the main component of the flame eliminating agent is a mixture of potassium sulphate, potassium nitrate, sodium chloride and potassium chloride; the main component(s) of the foaming agent are / is sodium nitrite and / or potassium nitrite; the main component of the detergent is sodium dodecyl benzene sulfonate; and the main component of the dust depressor is a mixture of water-soluble polymer, glycerol and calcium chloride. The high-efficiency chemical water-stemming has excellent effects of degrading and dissolving poisonous gases, eliminating smoke and flame, suppressing dust and blocking blasting holes; the cost is low; and the high-efficiency chemical water-stemming is widely applied to fields where the space of a roadway is small, the wind speed is low, and poisonous and hazardous gases are difficult to dilute.

The present invention provides for the generation of structured query results using lexical clustering which includes collecting one or more search queries and data associated with the one or more search queries. The present invention further includes preprocessing the one or more queries into a canonicalized form of each of the one or more queries. The canonicalized form of each of the one or more queries may be accomplished using stemming, punctuation, pluralization, word order or other canonicalization rules. The present invention further includes building a lexical index of the one or more search queries and data associated with the one or more search queries and mining the lexical index of the one or more search queries and data associated with the one or more search queries in order to generate a structured query result set.

The invention discloses an incomplete patent automatic indexing method, and belongs to the field of big data artificial intelligence deep learning. The method comprises the following steps: S1, selecting a patent data source, and reading patent abstract, claims, instructions and other related text data; S2, carrying out vector training by adopting Word2ver and GloVe word vector technologies to generate a lexicon; S3, preprocessing the data by adopting an ISRI word stem extractor; S4, extracting patent features of the experiment set by using CNN and LSTM respectively in combination with the word bank, establishing a feature model, and verifying and selecting the word bank and the feature model; And S5: indexing patents in the test set one by one in combination with the selected word libraryand the feature model. The invention provides an incomplete patent automatic indexing method, which can accurately, comprehensively and quickly finish a patent classification task, is beneficial to construction of an intelligent analysis decision system of patent big data, and is beneficial to effective integration, deep analysis and mining of patent resources and innovation research of an application mode.

A plurality of portions of a first document in a list of documents may be compared to portions of other documents in the list of documents. The documents may be scored by determining how often portions of the first document correspond to portions of other documents in the list of documents. A consensus may be reached as to correctness of portions of documents in the list of documents by crediting a portion of a document whenever it corresponds to a portion of another document. If desired, a linguistic parser may be used to identify portions of a document. It may be desired to use word stemming or a Bayesian reference network in comparing portions of documents. Advertising and / or other extraneous portions of the documents may be deleted. The documents may be ranked relative to each other as a function of how often portions of each document correspond to portions of other documents.

The invention discloses a novel homogenized stemming, which comprises the following components by mass ratio: 18-20 parts of brown aluminum oxide with a particle size of 1-3mm; 10-13 parts of brown aluminum oxide with a particle size of 3-5mm; 12-15 parts of brown aluminum oxide with a particle size of 5-8mm; 18-22 parts of brown aluminum oxide with a particle size of less than 1mm; 20-25 parts of bauxite homogenized grogs; 10-20 parts of silicon carbide micro-powder; 15-20 parts of clay; 2-5 parts of Al4SiC4 powder; 5-10 parts of ferro-silicon nitride; 5-10 parts of sericite; 8-15 parts of coke powder; and 10-25 parts of an environment-friendly composite binder. Compared with the prior art, the novel homogenized stemming provided by the invention has high normal temperature compressive strength and high temperature bending strength, also has more stable performance, and improves the slag corrosion resistance and molten iron scouring resistance.

The invention discloses a salt water stemming. Saline solution is injected into a cylindrical plastic pipe, the mouth of which is sealed and blocked in a heat seal way, which plays a role in inhibiting gas combustion, explosion in the blasting engineering of the coal mine.

The invention discloses an English word weighed positive-negative relevancy pattern excavation method for fusing item weights and frequentness. The method comprises the steps of firstly conducting preprocessing of removing stopwords, extracting stems, calculating feature word weights and the like on a to-be-excavated English text dataset to construct an English text index library and a feature word library, adopting a weighted support calculation method for fusing the item weights and the frequentness and a support-relevancy evaluation framework to excavate a feature work weighed positive itemset and a negative itemset and constructing a positive itemset library and a negative itemset library item, adopting a support-lift-confidence evaluation framework to excavate an inter-word weighed positive-negative relevancy rule pattern and constructing a feature word weighed positive rule pattern library and a negative rule pattern library. According to the English word weighed positive-negative relevancy pattern excavation method for fusing the item weights and frequentness, the insufficiency of an existing weighed relevancy pattern excavation technology can be overcome, the item weights and the frequentness are effectively fused, a more practical and more reasonable text feature word positive-negative relevancy rule pattern is excavated, and by applying the inter-word relevancy modesto the field of query expansion, the performance of text information retrieval can be improved.

The invention relates to the technical field of data retrieval, and discloses a time dimension semantic retrieval method based on a large model, which comprises the following steps of: acquiring multi-source original text data by utilizing a distributed crawler system, sequentially executing text cleaning operation, word segmentation processing operation, stop word removal operation and stem extraction operation, and performing identification and extraction to obtain multi-source original text data; obtaining a key time label; receiving and analyzing a natural language query instruction input by a user to obtain structured query information; based on the retrieval model, the absolute key time tag, the structured query information and a preset mixed index structure, executing retrieval operation to obtain a preliminary retrieval result; and performing online fine adjustment on the retrieval model by utilizing the optimized data to obtain a target retrieval result. By implementing the method and the device, the problems that related technologies excessively depend on predefined keywords or templates, the efficiency is low when large-scale data is processed, and individual requirements of different users are difficult to flexibly adapt are solved.

The invention discloses a grape crusher with a de-stemming function. The grape crusher comprises a frame and a drum, in which through holes are uniformly distributed. Two ends of the drum are provided with hollow supports and shaft seats, in which main shafts are arranged. One side of the frame at one end of each main shaft is provided with a power box. The upper side of one box wall of the power box is hinged to the upper part of the frame. A first motor is arranged on a box wall opposite to the above box wall. One end, away from the frame, of a rotary shaft of the motor is connected with a first belt wheel. A first driving shaft is arranged in the box body on one side of the motor. One end, away from the frame, of the first driving shaft is connected with a second belt wheel. A third driving shaft is arranged below the first motor. The first driving shaft drives a second driving shaft and the third driving shaft through a chain wheel and a driving chain such that a drum is driven to rotate through a gear and an outer tooth ring. Through a first shaft sleeve, the main shafts are driven to rotate. By adoption of the grape crusher with a de-stemming function, the number of worker is reduced and production efficiency is increased.

The invention discloses a lemmatization method and device. The lemmatization method comprises the following steps: achieving stemming of vocabulary entries to be lemmatized, acquiring the output results of all steps of the stemming algorithm and adding the output results into a lemmatization candidate set; for each lemmatization candidate, respectively calculating the lemmatization probability of the lemmatization candidate relative to the vocabulary entries to be lemmatized; according to the lemmatization probability, determining the lemmatization result of the vocabulary entries to be lemmatized. According to the scheme provided by the embodiment of the invention, in the stemming process, the output in each step serves as a candidate of the lemmatization result; as the stemming is a step-by-step process, in the lemmatization candidate set, various simplified forms of the vocabulary entries to be lemmatized appear; and then, through calculating the lemmatization probability of the original candidate relative to the vocabulary entries to be lemmatized, the final lemmatization result is determined, and accordingly, the probability of equivocation or meaning transfer after lemmatization is reduced.

The invention discloses stemming special for medium-sized blast furnace iron making. The stemming is characterized by being prepared from, by weight, 15-20 parts of chromium nitride with granularity of 1-3 mm, 5-8 parts of Theron with granularity of 0-1 mm, 10-15 parts of sericite with granularity of 0-1 mm, 8-15 parts of magnesium oxide iron with granularity of 0-0.5 mm, 8-13 parts of partial clay powder, 3-7 parts of cobaltous oxide alumina, 5-10 parts of cutting powder, 7-25 parts of crystalline graphite powder, 5-10 parts of composite powdered carbon, 0-1 part of strontium carbonate and 1-2 parts of medium-temperature asphalt powder. The aperture of an iron outlet can be kept stable and unchanged and iron discharge can be kept stable through the stemming; in addition, in the long-term storage process, the use performance and operation performance of the stemming are not decreased.

The invention relates to the technical field of data processing, and discloses an intelligent office knowledge system and a dual-mode precise retrieval method.The method comprises the steps that firstly, a keyword retrieval mode is adopted, a text needing to be retrieved is preprocessed, specifically, a self-defined dictionary is loaded through Jiaba word segmentation Chinese or NLTK English, stop words are deleted and filtered out, stem extraction is conducted, and inverted index construction is conducted; mapping is established for the keywords; according to the semantic retrieval mode, firstly, text vectorization is carried out, and a document is converted into a vector by using Word2Vec or BERT; similarity calculation is carried out, text semantics are converted into a vector Vquery, and cosine similarity is calculated; the result is weighted, the keyword retrieval score is equal to TF-IDF, the semantic retrieval score is equal to cos theta, and the fusion score is calculated; and the retrieved article sequence is eliminated again according to the fusion score. According to the method, the retrieval efficiency is improved, through the dual-mode accurate retrieval method, the user can find the needed information more quickly, the screening time is shortened, the working efficiency is improved, and the retrieval accuracy is improved.

The invention discloses a high-strength environment-friendly stemming material. The stemming material is prepared from the following ingredients, by the mass proportion, 15-20 parts of brown fused alumina, 10-15 parts of alumina, 5-10 parts of clay, 3-5 parts of SiC-C composition materials, 4-6 parts of silicon carbide powder, 4-6 parts of sericite, 10-15 parts of alumina micro powder, 3-5 parts of Si3N4, 2-4 parts of coke powder and 2-4 parts of an environment-friendly binder; compared with a prior art, the high-strength environment-friendly stemming material is characterized by improving volume density and matrix strength of the stemming material, having no pollution to environment in production and use, and being environment friendly.

The invention discloses a stemming processing device. The stemming processing device comprises a stemming device body, wherein a motor is arranged on the stemming device body; a fixing buckle is arranged on the surface of the motor, and a hand-held handle is connected to the fixing buckle; a protective gasket is arranged on the left side of the motor, and a protective shell is arranged on the leftside of the protective gasket; a transmission shaft is arranged in the protective shell, and a speed change control box is arranged on the left side of the protective shell; a display is arranged onthe speed change control box, and a control button is arranged on the lower side of the display; a grip handle is arranged on the lower side of the control button, and the grip handle is provided witha switch; and a gear speed changer is arranged in a speed change control box.The stemming processing device is more efficient and practical. The stemming processing device is convenient to use and simple to operate through optimization, and single-person operation can be realized; and moreover, stemming can be rapidly solidified after being sprayed out and the hardness of the stemming can be strengthened by adding a quick coagulant in the processing process, and a target can be conveniently and quickly blocked.