Results 111 to 120 of about 633,534 (237)
Incorporating topic information into sentiment analysis models [PDF]
Tony Mullen, Nigel Collier
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Fully automatic lexicon expansion for domain-oriented sentiment analysis [PDF]
Hiroshi Kanayama, Tetsuya Nasukawa
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Multi-lingual sentiment analysis of financial news streams [PDF]
Khurshid Ahmad, D. Cheng, Yousif Almas
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Document-Word Co-regularization for Semi-supervised Sentiment Analysis [PDF]
Vikas Sindhwani, Prem Melville
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Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis [PDF]
Xiaojun Wan
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Sentiment analysis is an increasingly popular instrument for the analysis of social media discourse. Sentiment scores seemingly represent an objective means of assessing the mood of social media users, consumers, and the public at large. Similar to other
Cornelius Puschmann, Alison Powell
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Sentiment analysis or opinion mining aims to use au tomated tools to detect subjective information such as opinions,attitudes,and feelings expressed in text. Ideally,an opinion mining tool would process a set of sear ch results for a given item,generating a list of product attributes (quality,features,etc.) and aggregating opinions about each of them ...
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The effect of negation on sentiment analysis and retrieval effectiveness [PDF]
Lifeng Jia, Clement Yu, Weiyi Meng
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Deep learning for sentiment analysis
AbstractResearch and industry are becoming more and more interested in finding automatically thepolarised opinionof the general public regarding a specific subject. The advent ofsocial networkshas opened the possibility of having access tomassive blogs,recommendations, andreviews.
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Issues in Sentiment analysis [PDF]
Natural language processing is concerned with artificial intelligence and linguistics. It provides opportunity to interact with computers using human natural languages. There are varieties of applications of NLP. The AI and business intelligence contributes in extraction of meaning and knowledge represented in natural language text. The major areas are
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