作者
Apoorv Agarwal, Vivek Sharma, Geeta Sikka, Renu Dhir
发表日期
2016/3/18
研讨会论文
2016 Symposium on Colossal Data Analysis and Networking (CDAN)
页码范围
1-5
出版商
IEEE
简介
Opinion Mining (also known as “Sentiment Analysis”) is an area of text classification which continuously gives its contribution in research field. The main objective of Opinion mining is Sentiment Classification i.e. to classify the opinion into positive or negative classes. SentiWordNet is an opinion lexicon derived from the WordNet database where each term is associated with some numerical scores indicating positive and negative sentiment information. Up until recently most researchers presented opinion mining of online user generated data like reviews, blogs, comments, articles etc. Opinion mining for offline user generated data like newspaper is unconcerned so far despite the fact that it is also explored by many users. As a first step, this paper present opinion mining for newspaper headlines using SentiWordNet. Further, most of the researchers implement the opinion mining by separating out the adverb-adjective …
引用总数
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学术搜索中的文章
A Agarwal, V Sharma, G Sikka, R Dhir - 2016 Symposium on Colossal Data Analysis and …, 2016