This paper presents a usability study of radial and hierarchical opinion visualization techniques. The objective of this work is to evaluate the selected visualizations based on a set of information visualization metrics. A questionnaire survey was used as an instrument to collect response from users on a 3-point Likert scale. The data were collected by s conducting seminar and an online questi...

The objective of this paper is to present the current evidence relative to twitter opinion mining in general and also the current state of Arabic tweets’ opinion mining. The researcher performed a systematic literature review (SLR) to investigate features and methods used for twitter opinion mining and if those features and methods have been used for Arabic tweets opinion mining. Sixty five pap...

Online social networks have become a popular communication tool for the masses. People are constantly sharing their opinions on social media. Therefore, social networking websites are a rich source for opinion mining. By analyzing the various opinions expressed on such sites, we can determine how well a product is doing in the current market. In this paper, we propose a system which uses the po...

This paper deals with lexical resources applied for opinion mining – the identification and extraction of opinions from free texts. Opinion mining comprises the segmentation of documents, passages, sentences, or phrases to objective (factual) and subjective parts, and the evaluation of the subjective attitude toward a given fact. We briefly introduce an automatic system that was designed to cra...

Internet has increasingly become the place for online learning, and exchange of ideas. The rapid development in wireless technology offering fast data transfer has lead to mobile device revolution. With the ease of access of mobile devices like mobile phones, PDAs, tablet PCs and high bandwidth through wireless, there is an upsurge of mobile learning or Mlearning. It is important to know the op...

We assume that in order to properly capture opinion and sentiment expressed in a text or dialog any system needs a deep text processing approach. In particular, the idea that the task may be solved by the use of Information Retrieval tools like Bag of Words Approaches (BOWs) is totally flawed. BOWs approaches are sometimes also camouflaged by a keyword based Ontology matching and Concept search...

This paper presents the design and implementation of an opinion mining system developed by NLPCity group for NTCIR-8 MOAT evaluation, named CTL-OM. CTL-OM incorporates two opinion mining approach, namely feature-based approach and similaritybased approach. The feature-based approach incorporates computational features at punctuation-, word-, collocation-, phrase-, sentence-, paragraphand docume...

-Sentiment analysis addresses the computational of feeling, sentiments and subjectivity in content, has reached an impressive consideration in recent years. Rather than the customary coarse-grained sentiment analysis tasks, for example document-level sentiment analysis. Aspect-oriented opinion mining aims to identify product aspects (features of products) about which opinion has been expressed ...