The invention discloses a text keyword automatic extraction method and device based on a co-occurrence language network. The defect that a large amount of manual annotation data is needed in supervised machine learning is overcome, the text keyword automatic extraction method and device overcome the defect of weak generalization ability of a language analysis method, avoid the problem that a statistical method is easy to ignore low-frequency and very important keywords. The method comprises the steps of preprocessing a webpage, constructing a language network graph model, jointly extracting candidate keyword features, comprehensively sorting the candidate keyword features and outputting the keywords. According to the method, web text preprocessing, co-occurrence language network model construction, keyword feature joint extraction and candidate keyword sorting optimization are carried out, so that the extracted keywords have good readability, coherence and correlation, and can be widely applied to the fields of natural language processing, information retrieval, text mining, sentiment analysis, multi-mode human-computer interaction and the like.