ANALYSIS OF SOCIAL MEDIA TEXTUAL CONTENT USING ACCIDENT DATA SETS FOR CONTEXT RECOGNITION BY GENETIC ALGORITHM
Journal Title: International Journal of Computer Engineering & Technology (IJCET) - Year 2019, Vol 10, Issue 2
Abstract
There is huge amount of data which is being processed daily. According to statistic world’s population is 7 billion and 6 billion people has smart phones. So, having smart phones there are various application which connects world. It has made world easier and difficult at the same time. Social media has made people to converse with each other and add few knowledgeable information on it. This huge exploration of data has to be maintained and it is necessary to know the context in which it is used. Discource interpretation of the word is very important a particular world can be used in positive context or in negative context .For example “great” can be used in positive context as well as negative context. . So Natural Language processor is used (NLP) to get the context of the word which is being used. So in this paper we can exploit the knowledge of Natural language processing the context in greater way
Authors and Affiliations
RASHMI H PATIL and SIDDU P ALGUR
Keywords
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- EP ID EP46540
- DOI 10.34218/IJCET.10.2.2019.013
- Views 182
- Downloads 0
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