In this introduction, we present an overview of the current state of research in the Natural
Language Processing tasks of subjectivity and sentiment analysis, as well as their …

The paper gives an overview of the different sentiment classification approaches and tools
used for sentiment analysis. Starting from this overview the paper provides a classification of …

An important part of our information-gathering behavior has always been to find out what
other people think. With the growing availability and popularity of opinion-rich resources …

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 sentiment detection of texts has been witnessed a booming interest in recent years, due
to the increased availability of online reviews in digital form and the ensuing need to …

Humans like to express their opinions and are eager to know others' opinions. Automatically
mining and organizing opinions from heterogeneous information sources are very useful for …

Documents discussing public affairs, common themes, interesting products, and so on, are
reported and distributed on the Web. Positive and negative opinions embedded in …

Opinion retrieval is a document retrieval process, which requires documents to be retrieved
and ranked according to their opinions about a query topic. A relevant document must satisfy …

An important part of information-gathering behaviour has always been to find out what other
people think and whether they have favourable (positive) or unfavourable (negative) …

Sentiment Summarization is an automated technology that extracts important features of
sentences and then reorganizes selected words or sentences by their aspect class and …