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Financial field comment sentiment classification method and system based on sentiment dictionary

A sentiment dictionary and sentiment classification technology, applied in the field of sentiment classification, can solve problems such as defects and inability to obtain analysis results, and achieve the effect of improving timeliness and pertinence

Inactive Publication Date: 2019-10-22
北京大学(天津滨海)新一代信息技术研究院
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Problems solved by technology

However, at the current stage, the sentiment dictionary has not been used in the financial field and updated with new words on the Internet, which makes the sentiment analysis for the financial field have serious flaws and cannot obtain correct analysis results.

Method used

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  • Financial field comment sentiment classification method and system based on sentiment dictionary
  • Financial field comment sentiment classification method and system based on sentiment dictionary
  • Financial field comment sentiment classification method and system based on sentiment dictionary

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Embodiment Construction

[0033] Such as figure 2 As shown, the present invention provides a method for sentiment classification of comments in the financial field based on sentiment lexicon, specifically comprising the following steps:

[0034] Step 1. Preprocessing the comment text to be analyzed to obtain the word list of the text, which specifically includes the following sub-steps:

[0035] 1.1 Convert the comment text to be analyzed into a list of short sentences, the comment sentences are divided by ".,?!", and each sentence is divided into short sentences by ",";

[0036] 1.2 Through preprocessing operations such as word segmentation and part-of-speech tagging, short sentences are converted into lists of words and part-of-speech pairs;

[0037] Step 2. Carry out emotional positioning to the word list obtained in step 1; load the word list obtained in step 1 into an emotional dictionary, and judge word by word; match the word list through the dictionary set; locate emotional words, degree adve...

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Abstract

The invention relates to the field of sentiment classification, in particular to a financial field comment sentiment classification method and system based on a sentiment dictionary. The method specifically comprises the following steps: 1, preprocessing a to-be-analyzed financial field comment text to obtain a word list of the text; 2, inputting the word list obtained in the step 1 into a sentiment dictionary for sentiment positioning, and positioning sentiment words, degree adverbs and negative words in the sentiment dictionary; and 3, calculating a text sentiment value according to the positioned sentiment words, degree adverbs and negative words. The emotion dictionary is applied to the financial field, and timeliness and pertinence of the emotion classification model are improved.

Description

technical field [0001] The invention relates to the field of sentiment classification, in particular to a method and system for sentiment classification of comments in the financial field based on a sentiment dictionary. Background technique [0002] In the financial field, investors' investment behavior is largely influenced by social media and is highly emotional. Therefore, it is particularly important to provide decision support for investors by analyzing the sentiment of comments in the financial field. However, at the current stage, the sentiment dictionary has not been used in the financial field and updated with new words on the Internet, which makes the sentiment analysis for the financial field have serious flaws and cannot obtain correct analysis results. Contents of the invention [0003] Embodiments of the present invention provide a method and system for sentiment classification of comments in the financial field based on a sentiment dictionary. The present ...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F17/27
CPCG06F16/35G06F40/242G06F40/284
Inventor 黄罡李玲姜海鸥景翔娄帅崔磊
Owner 北京大学(天津滨海)新一代信息技术研究院
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