We assume that in order to properly capture opinion and sentiment expressed in a text or dialog any system needs a deep text processing approach. In particular, the idea that the task may be solved by the use of Information Retrieval tools like Bag of Words Approaches (BOWs) is totally flawed. BOWs approaches are sometimes also camouflaged by a keyword based Ontology matching and Concept search...

This paper presents the design and implementation of an opinion mining system developed by NLPCity group for NTCIR-8 MOAT evaluation, named CTL-OM. CTL-OM incorporates two opinion mining approach, namely feature-based approach and similaritybased approach. The feature-based approach incorporates computational features at punctuation-, word-, collocation-, phrase-, sentence-, paragraphand docume...

-Sentiment analysis addresses the computational of feeling, sentiments and subjectivity in content, has reached an impressive consideration in recent years. Rather than the customary coarse-grained sentiment analysis tasks, for example document-level sentiment analysis. Aspect-oriented opinion mining aims to identify product aspects (features of products) about which opinion has been expressed ...

An important part of information gathering is to find what peoples think. With the large and growing availability opinion-rich resources like blogs, forums, e-commerce, social media websites, etc, have a huge collection people's views on their websites. Users' opinions thoughts reviews experiences are valuable used in decision-making process. To determine feelings emotions among thinks quite ch...

Opinion mining is a relatively new field that refers to the practice of collecting feedback in form online reviews and ratings left by users on various topics. Researchers are now able monitor states consciousness individuals real-time because this development. Just lately, number research papers for sentiment analysis were implemented, each which was based unique categorization ranking procedu...