Opinion mining and sentiment analysis has recently gained increasing attention among the NLP community. Opinion mining is considered a domaindependent task. Constructing lexicons for different domains is labor intensive. In this paper, we propose a framework for constructing Thai language resource for feature-based opinion mining. The feature-based opinion mining essentially relies on the use o...

The task of opinion mining from product reviews is to extract the product entities, opinions on the entities and determine whether the opinions are positive, negative or neutral. Reasonable performance on this task has been achieved by employing rule-based, statistical approaches or generative learning models such as hidden Markov model (HMMs). In this paper, we proposed a discriminative model ...

On June 23rd 2016, UK held the referendum which ratified the exit from the EU. While most of the traditional pollsters failed to forecast the final vote, there were online systems that hit the result with high accuracy using opinion mining techniques and big data. Starting one month before, we collected and monitored millions of posts about the referendum from social media conversations, and ex...

Opinion mining and Sentiment analysis have emerged as a field of study since the widespread of World Wide Web and internet. Opinion refers to extraction of those lines or phrase in the raw and huge data which express an opinion. Sentiment analysis on the other hand identifies the polarity of the opinion being extracted. In this paper we propose the sentiment analysis in collaboration with opini...

with the increase of opinionated reviews on the web, automatically analyzing and extracting knowledge from those reviews is very important. However, it is a challenging task to be done manually. Opinion mining is a text mining discipline that automatically performs such a task. Most researches done in this field were focused on English texts with very limited researches on Arabic language. This...

Opinion mining is a well-known problem in natural language processing that has attracted increasing attention in recent years. Existing approaches are mainly limited to the identification of direct opinions and are mostly dedicated to explicit opinions. However, in some domains such as medical, the opinions about an entity are not usually expressed by opinion words directly, but they are expres...

Opinion words as well as opinion phrases and idioms are very useful in sentiment analysis. All these terms together build opinion or sentiment lexicons. Therefore, opinion lexicons are large lists of terms that encode the sentiment of each phrase within it. Generally, to create such a lexicon automatically, high-precision classifiers use known sentiment vocabulary, e.g. the prior polarity of an...

As the internet and its applications are growing, E-commerce has become one of its rapid applications. Customers of E-commerce were provided with the opportunity to express their opinion about the product on the web as a text in the form of reviews. In the previous studies, mere founding sentiment from reviews was not helpful to get the exact opinion of the review. In this paper, we have used A...