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...

The customer’s reviews and opinion mining become one of the wealthily areas in data mining. Nowadays, as the vast developments of using web applications and spreading of sites that provides a good platform for the customers to express their opinions directly on online shopping and companies web sites like Amazon.com, Cnet.com, customers opinion becomes helpful tools to manufactories to evaluati...

The number of messages that can be mined from online entries increases as the number of online application users increases. In Malaysia, online messages are written in mixed languages known as ‘Bahasa Rojak’. Therefore, mining opinion using natural language processing activities is difficult. This study introduces a Malay Mixed Text Normalization Approach (MyTNA) and a feature selection techniq...

We introduce a simple opinion mining system for analyzing Japanese Weblog reviews called OMS-J. OMS-J is designed to provide an intuitive visual GUI of opinion mining graphs for a comparison of different products of the same type to help a user make a quick purchase decision. We first use an opinion mining method using a combination of supervised (a Naive Bayes Classifier) and unsupervised (an ...

Both opinion mining and multimedia retrieval are active research areas with challenging applications, but as far as we know the present vision paper is the first attempt to integrate them into multimedia opinion mining. Here we address the specific case of satirical comments in politics by exploiting the presence of photomontage to infer a tendentially negative opinion. In order to do so, we in...

With the growing popularity of the Web 2.0, we are more and more provided with documents expressing opinions on different topics. Recently, new research approaches were defined in order to automatically extract such opinions on the Internet. Usually they consider that opinions are expressed through adjectives and they extensively use either general dictionaries or experts in order to provide th...

Now-a-days due to the rapid growth of internet, people are expressing their views and opinions regarding, products, services and policies on the web in large numbers. This huge amount of feedback is very crucial for both organizations as well as individuals. The task of analysing these reviews is done by Opinion Mining (also known as Semantic Analysis). It aims for distinguishing the emotions e...

Opinion mining is a field of Natural Language Processing (NLP) that used to carry out the process extracting and processing textual data which functions obtain information through sentiment analysis from document in form text, among others, detect attitudes towards objects or people. Sub-processes opinion can use documents subjectivity, orientation, detection targets find as analysis, aims asse...

In the last few years as the growth & use of Internet increases and share of user’s opinions increases, the inspiration towards opinion mining also increases. When person wants to conduct some research or making day to day decisions, he has to depend on other people’s opinions. We consult “political discussion forums when going to a political vote, read consumer reports when purchasing some pro...