Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

Modeling trajectory data is a building block for many smart-mobility initiatives. Existing
approaches apply shallow models such as Markov chain and inverse reinforcement learning …

Along with the significant growth of social media, individuals and companies are
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …

This paper presents a sentiment analysis approach based on Markov chains for predicting
the sentiment of Urdu tweets. Sentiment analysis has been a focus of natural language …

The evolution of modern mobile terminals, social networks, and other intelligent services
makes everyone become a ubiquitous information perceiver, producer, and propagator. Also …

Opinion stream mining aims at learning and adaptation of a polarity model over a stream of
opinionated documents, ie, documents associated with a polarity. They comprise a valuable …

Aspect based opinion mining investigates deeply, the emotions related to one's aspects.
Aspects and opinion word identification is the core task of aspect based opinion mining. In …

Modeling trajectory data is a building block for many smart-mobility initiatives. Existing
approaches apply shallow models such as Markov chain and inverse reinforcement learning …

Online retailers are gaining more market share of the retail market, as they are able to
provide three important services for their customers: speed, choice and comfort. Since this …

Studies have shown that product reviews have a significant influence on the purchase
decisions of customers. 1 With Web 2.0 the amount of reviews is increasing day by day …