The increasing use of social networks and online sites where people can express their opinions has created a growing interest in Opinion Mining. One of the main tasks of Opinion Mining is to determine whether an opinion is positive or negative. Therefore, the role of the feelings expressed on the web has become crucial, mainly due to the concern of businesses and government to automatically ide...

This paper presents a sentiment lexicon-based algorithmic approach to mine sentiments in blog posts. The experimental system is designed to use a publicly available sentiment lexicon, the SentiWordNet, and identify opinion polarities from blog texts. Two schemes of based on SentiWordNet, namely SWN (AAC) and SWN (AAAVC) are designed and evaluated on two labeled blog datasets. The schemes use ad...

This paper describes the design, implementation and population of a lexical resource for biology and bioinformatics (the BioLexicon) developed within an ongoing European project. The aim of this project is text-based knowledge harvesting for support to information extraction and text mining in the biomedical domain. The BioLexicon is a large-scale lexical-terminological resource encoding differ...

We present a corpus-driven method for building a lexicon of semantically equivalent pairs of technical and lay medical terms. Using a parallel corpus of abstracts of clinical studies and corresponding news stories written for a lay audience, we identify terms which are good semantic equivalents of technical terms for a lay audience. Our method relies on measures of association. Results show tha...

This review paper presents a comprehensive analysis of 10 selected research papers that investigate the interplay between social media, gamification, and sentiment analysis. The cover wide range topics, including customer engagement, user behaviour in mobile apps, sustainable change, opinion mining, techniques, applications on media data. offers valuable insights into effects gamification engag...

Machine learning techniques have been used to address various problems and classification of documents is one of the main applications of such techniques. Opinion mining has emerged as an active research domain due to its wide range of applications such as multi-document summarization, opinion mining of documents and users’ reviews analysis improving answers of opinion questions in forums. Exis...

The success of Information technologies and associated services (e.g., blogs, forums,...) eases the way to express massive opinion on various topics. Recently new techniques known as opinion mining have emerged. One of their main goals is to automatically extract a global trend from expressed opinions. While it is easy to get this overall assessment, a more detailed analysis will highlight that...

A natural language processing (NLP) application requires sophisticated lexical resources to support its goals. Different solutions, such as dictionary lookup and MetaMap, have been proposed in the healthcare informatics literature identify disease terms with more than one word (multi-gram named entities). Although a lot of work has done identification protein- gene-named entities biomedical fie...

Sentiment Analysis (SA) or Opinion Mining is the process of analysing natural language texts to detect an emotion or a pattern of emotions towards a certain product to make a decision about that product. SA is a topic of text mining, Natural Language Processing (NLP) and web mining disciplines. Research in SA is currently at its peak given the amount of data generated from social media networks...