Opinion mining and sentiment analysis are two topics with growing interest in artificial intelligence. Last years' research on these areas has evolved in increasing complexity and sophistication with tasks such as opinion retrieval, sentiment extraction, classification and summarization being carried out using text mining and natural language processing techniques. Possible strategies go from c...

Abstract Nowadays, it is important for buyers to know other customer opinions make informed decisions on buying a product or service. In addition, companies and organizations can exploit improve their products services. However, the Quintilian bytes of generated every day cannot be manually read summarized. Sentiment analysis opinion mining techniques offer solution automatically classify summa...

Automatic Construction of a Contextual Valence Shifters Lexicon The research presented in this paper takes place in the field of Opinion Mining, which is mainly devoted to assigning a positive or negative label to a text or a sentence. The context of a highly polarized word plays an essential role, as it can modify its original polarity. The present work addresses this issue and focuses on the ...

In this paper, we describe our participating system, which is based on supervised approaches and dependency parsing, for opinion analysis on traditional Chinese texts at NTCIR-8. For opinionated sentence recognition, the supervised lexicon-based approach, SVM and Maximum Entropy are combined together. For polarity classification, we use only the supervised lexicon-based approach. For opinion ho...

One of the most important issues related to knowledge discovery is the field of comment mining. Opinion mining is a tool through which the opinions of people who comment about a specific issue can be evaluated in order to achieve some interesting results. This is a subset of data mining. Opinion mining can be improved using the data mining algorithms. One of the important parts of opinion minin...

Opinion mining refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in textual material. Opinion mining, also known as sentiment analysis, has received a lot of attention in recent times, as it provides a number of tools to analyse the public opinion on a number of different topics. Comparative opinion minin...

Large amount of user generated data is present on web as blogs, reviews tweets, comments etc. This data involve user’s opinion, view, attitude, sentiment towards particular product, topic, event, news etc. Opinion mining (sentiment analysis) is a process of finding users’ opinion from user-generated content. Opinion summarization is useful in feedback analysis, business decision making and reco...