Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …

Now a day's internet is the most valuable source of learning, getting ideas, reviews for a
product or a service. Everyday millions of reviews are generated in the internet about a …

In the last few years use of social networking sites has increased tremendously. People use
social media platforms to share their views on almost all subjects. These views are in …

With the rapid development of science and technology, consumers are used to searching
online for evaluations before purchasing products. Manufacturers can also utilize such …

As people progressively resort to twitter to express their opinions or to disambiguate their
sentiment, it's feasible to analyze the mass opinion to conclude the polarity of the subject at …

Online product reviews are significant in modern e-business because they can influence
consumers' purchase decisions. However, with the dramatic increase in the number of …

Opinion target extraction (OTE) is the extraction of explicit expressions related to entity
aspects interpreted with subjective attributive words in the review sentences using …

The production decision of a large commodity or equipment manufacturing enterprise can
be modeled as a newsvendor problem. Managers must determine the optimal production …

In this paper we present, describe, and evaluate SentiEcon, a large, comprehensive, domain-
specific computational lexicon designed for sentiment analysis applications, for which we …

We introduce SURel, a novel dataset with human-annotated meaning shifts between
general-language and domain-specific contexts. We show that meaning shifts of term …