Sentiment Analysis deals with consumer reviews available on blogs, discussion forums, E-commerce websites, and App Store. These online about products are also becoming essential for consumers companies as well. Consumers rely these to make their decisions very interested in judge services. a precious source of information requirement engineers. But not satisfied the overall sentiment; they like...

Distinguishing speculative statements from factual ones is important for most biomedical text mining applications. We introduce an approach which is based on solving two sub-problems to identify speculative sentence fragments. The first sub-problem is identifying the speculation keywords in the sentences and the second one is resolving their linguistic scopes. We formulate the first sub-problem...

Manually assigned keywords provide a valuable means for accessing large document collections. They can serve as a shallow document summary and enable more efficient retrieval and aggregation of information. In this paper we investigate keywords in the context of the Dutch Folktale Database, a large collection of stories including fairy tales, jokes and urban legends. We carry out a quantitative...

Computer programming today is far too dependent on one particular natural language, namely English. Mathematics is not dependent on English, and programming should not be, either. In order to eliminate the dependence of programming on English, we have constructed a programming language in which the keywords are replaced by symbols available on standard keyboards. Each of these symbols is chosen...

The article focuses on the role of keywords, their statistical data for determining thematic dominance when working with large arrays texts. description is based materials a typological linguistic study texts military songs, period 1939-1945, in English and Russian. selection keywords was carried out basis semantic, lexical-syntactic, morphological analysis, taking into account frequency use. u...