In the context of the development of a feature-based opinion mining system for English, we observed that there is some very interesting information provided by customers but not yet covered by “standard” opinion mining techniques: opinion mining aims at detecting whether comments are positive or negative, but it appears that customers are very often suggesting improvements about what they are r...

Opinion mining or sentiment analysis is the computational study of people’s opinions, appraisals, attitudes, and emotions toward entities such as products, services, organizations, individuals, events, and their different aspects. It has been an active research area in natural language processing and Web mining in recent years. Researchers have studied opinion mining at the document, sentence a...

A part of the broad research domains Knowledge Discovery and Information Retrieval deals only with Data Mining in texts: Text Mining. In general, Text Mining tries to obtain knowledge by identifying patterns in textual data. One of its most important areas is Opinion Mining, which is the main topic of this thesis. Opinion Mining is a far-reaching research area, because it is potentially interes...

Rapid growth of Internet and availability of user reviews on the web for any product has provided a need for an effective system to analyze the web reviews. Such reviews are useful to some extent, promising both the customers and product manufacturers. For any popular product, the number of reviews can be in hundreds or even thousands. This creates difficulty for a customer to analyze them and ...

This paper focuses on the tourism-related opinion mining, including tourism-related opinion detection and tourist attraction target identification. The experimental data are blog articles labeled as in the domestic tourism category in a blogspace. Annotators were asked to annotate the opinion polarity and the opinion target for every sentence. Different strategies and features have been propose...

This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing robust shallow syntactic structures for improving model adaptability. We rely on the tree kernel technology to automatically extract and learn features with better generalization power than bag-of-words. An...

The current research is focusing on the area of Opinion Mining also called as sentiment analysis due to sheer volume of opinion rich web resources such as discussion forums, review sites and blogs are available in digital form. One important problem in sentiment analysis of product reviews is to produce summary of opinions based on product features. We have surveyed and analyzed in this paper, ...

Heutzutage gibt es eine unüberschaubare Anzahl von Medien mit enorm vielen Artikeln und Beiträgen. Da in ihnen neben vielen anderen potenziell nützlichen Informationen wertvolle Meinungen zu Themen enthalten sind, ist eine automatische Beobachtung dieser Medien sehr interessant, birgt aber zwei große Herausforderungen: eine automatisierte Tonalitätsbestimmung (Opinion Mining) kombiniert mit ein...