Online reviews about the purchase of products or services provided have become the main
source of users' opinions. In order to gain profit or fame, usually spam reviews are written to …

Twitter is a microblogging site in which users can post updates (tweets) to friends (followers).
It has become an immense dataset of the so-called sentiments. In this paper, we introduce …

In the past years we have witnessed Sentiment Analysis and Opinion Mining becoming
increasingly popular topics in Information Retrieval and Web data analysis. With the rapid …

The ubiquity of Web2. 0 makes the Web an invaluable source of business information. For
instance, product reviews composed collaboratively by many independent Internet …

Opinion mining is one of the most challenging tasks of the field of information retrieval.
Research community has been publishing a number of articles on this topic but a significant …

Sentiment analysis is about classifying opinions expressed in text. The aim of this study is to
improve polarity classification of sentiments in microblogs by building adaptive sentiment …

Increasingly large numbers of customers are choosing online shop** because of its
convenience, reliability, and cost. As the number of products being sold online increases, it …

The goal of sentiment analysis is to determine opinions, emotions, and attitudes presented
in source material. In tweet sentiment analysis, opinions in messages can be typically …

While most work in sentiment analysis in the financial domain has focused on the use of
content from traditional finance news, in this work we concentrate on more subjective …

The deployment of Web 2.0 technologies has led to rapid growth of various opinions and
reviews on the web, such as reviews on products and opinions about people. Such content …