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Processing of Unlabeled Data: Research on the emotion of Social Comment Text based on ANN

摘要


The main research object of this paper is the emotion of unlabeled Weibo comments. The main research content is to effectively identify and label unlabeled Weibo comments. The main method used in this study is to use the python package jieba to extract feature values of comments, and then process and train the data based on ANN, so as to predict unlabeled comments and conduct tendency analysis.

參考文獻


Liu B. Sentiment analysis and opinion mining[J]. Synthesis lectures on human language technologies, 2012, 5(1):1-167.
Neviarouskaya A, Prendinge H, Ishizuka M. SentiFul: A lexicon for sentiment analysis[J]. Affective Computing, IEEE Transactions on, 2011,2(1):22-36.
Pang B, Lee L. Opinion mining and sentiment analysis[J]. Foundations and trends in information retrieval, 2008, 2(1-2):1-135.
Wilson T, Wiebe J, Hoffmann P. Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis[J]. Computational linguistics, 2009,35(3):399-433.
Joshi A, Balamurali A R, Bhattacharyya P, et al. C-Feel-It: a sentiment analyzer for micro-blogs, 2011[C]. Association for Computational Linguistics, 2011.

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