Word of mouth (WOM) affects the buying behavior of information receivers stronger than advertisements. Opinion leaders further affect others in a specific domain through their new information, ideas and opinions. Identification of opinion leaders has become one of the most important tasks in the field of WOM mining. Existing work to find opinion leaders is based mainly on quantitative approache...

With the popularity of online shopping it is increasingly becoming important for manufacturers and service providers to ask customers to review their product and associated service. Typically the number of customer reviews that a product receives grows rapidly and can be in hundreds or even thousands. This makes it difficult for a potential customer to decide whether to buy the product or not. ...

Opinion mining is an important research topic in data mining. Many current methods are coarse-grained, which are practically problemic due to insufficient feedback information and limited reference values. To address these problems, a novel topic and sentiment unification maximum entropy LDA model is proposed in this paper for fine-grained opinion mining of online reviews. In this model, a maxi...

Data mining process of pattern discovering in large data sets in that the emerging field is sentiment analysis. Opinion mining is the study of analyzing the human‘s opinions, sentiments, and emotion towards the entities such as products, services. The main application of sentiment analysis is collecting the online reviews about the product, social networks informal text. The process of the opin...

Opinion mining aims at extracting useful subjective information from reliable amounts of text. Opinion mining holder recognition is a task that has not been considered yet in Arabic Language. This task essentially requires deep understanding of clauses structures. Unfortunately, the lack of a robust, publicly available, Arabic parser further complicates the research. This paper presents a leadi...

Due to presence of large volume of opinionated text on web in form of review sites, social media, blogs, discussion forums, People are intended to develop a system that can identify and classify opinion or sentiment expressed in opinionated text. Opinion mining is a type of natural language processing for tracking the mood of the public about a particular product. Opinion mining involves buildi...