Open AccessWeb Mining System in a Natural Language Processing Based for Social Media Analysis
Author(s) -
G. Vasavi,
T. Sudha
Publication year - 2019
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2019.8.s3.2083
Subject(s) - computer science , social media , web mining , process (computing) , information extraction , natural (archaeology) , natural language , natural language processing , web application , data science , world wide web , artificial intelligence , web page , archaeology , history , operating system
Social Media Monitoring and Analysis are the new trends in technology business. The challenge is to extract correct information from free-form texts of social media communication. Natural Language Processing methods are sometimes used in social media monitoring to improve accuracy in extracting information. This paper discusses a web mining system that is based on Natural Language Processing to analyze social media information. In that process, this research examines Natural Language methods that are important for such analysis. Then the traditional web mining steps are discussed along with proposed use of Natural Language Processing methods.