opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. in general, opinion mining extracts user reviews at three levels of document, sentence and feature. opinion mining at the feature level is taken into consideration more than the other two levels d...

rapid growth of networks and social networks results in more access to people’s opinion. these opinions contain useful information. by analyzing these opinions, people’s preferences and their positive and negative opinions about different subjects can be identified. opinion mining is the process of analyzing people’s emotions, feelings and opinions to identify their preferences. in this article...

Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. In general, opinion mining extracts user reviews at three levels of document, sentence and feature. Opinion mining at the feature level is taken into consideration more than the other two levels d...

In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, semantic polarity analysis and machine learning. One of the most significant constraints that make application of opinion mining for written content...

-In our daily life we take opinion of our friends and are influenced by them in our decision making process. Opinion is the view or judgement about something. With the advent of web 2.0, the number of Social Networking Sites (SNS) has increased manifold. With these has increased the volume of users generated content. Sentiment Analysis (SA) or Opinion Mining (OM) is the computational analysis o...

Aspect-oriented opinion mining aims to identify product aspects (features of products) about which opinion has been expressed in the text. We present an approach for aspect-oriented opinion mining from user reviews in Croatian. We propose methods for acquiring a domain-specific opinion lexicon, linking opinion clues to product aspects, and predicting polarity and rating of reviews. We show that...

The growth of web 2.0 application, consumer feedback about product is analyzed to improve the quality of the product. The consumer feedback or reviews are extracted from the social media and then determine the polarity (positive, negative or objective) is called sentiment analysis. It is also known as opinion mining or appraisal extraction or review mining. The sentiment lexicon plays an import...

Opinion Lexicons are linguistic resources annotated with semantic orientation of terms (positive and negative) and are important for opinion mining tasks. In the literature we see a variety of proposals for the construction of opinion lexicons using different linguistic resources and techniques. In this work, we propose and evaluate the integration of such linguistic resources to create a singl...

In recent years, with the rapid growth of social media, such as forums, blog, discussion boards and social networks, people can freely express and respond to opinion on variety of topics. Reading and understanding of the huge amount of reviews are not possible for individuals and companies. Opinion mining and sentiment analysis aims to extract, process of the opinionated text and present them f...