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The social media network phenomenon creates massive amounts of valuable data that is available online and easy to access. Many users share images, videos, comments, reviews, news and opinions on different social networks sites, with Twitter being one of the most popular ones. Data collected from Twitter is highly unstructured, and extracting useful information from tweets is a challenging task. Twitter...
This paper proposes an automatic translation approach to create a sentiment lexicon for a new language from available English resources. In this approach, an automatic mapping is generated from a sense-level resource to a wordlevel by applying a triple unification process. This process produces a single polarity score for each term by incorporating all sense polarities. The major idea is to deal with...
With rapid development of E-commerce platforms, automated review sentiment analysis for commodities becomes a research focus, with main purpose to extract potential information within reviews for decision making of consumers. Traditional methods have made some progress on document level sentiment analysis, but with tremendous increasing of data scale, how to process high dimension of data fast and...
The wide spread of World Wide Web has brought a new way of expressing the sentiments of individuals. It is also a medium with a huge amount of information where users can view the opinion of other users that are classified into different sentiment classes and are increasingly growing as a key factor in decision making. This paper contributes to the sentiment analysis for customers' review classification...
Sentiment analysis research mainly aims to determine the orientation of an opinionated stretch of text into positive or negative polarity. The key motivation of sentiment analysis is getting to know what consumers think about products and services by analyzing their opinions on online portals, blogs, discussion boards, reviews etc. The main objective of this paper is to incorporate the information...
Fund reviews on the Web can help people to make investment decisions and their size is relatively small comparing with other products, which lowers PMI algorithm performance. Replacing words by morphemes can improve system capability in Chinese language environment, but defining the SO (sentiment orientation) of morphemes is generally a kind of heavy handwork. We propose a methodology to do this job...
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