A survey and perspective analysis of text mining techniques in social media web portals

  Suriyapavithra. K.V,  N.Mohamed Farook Ali

Social media data analysis become a vital research and business activity in the text mining. Social Media sites such as Facebook, Twitter, LinkedIn and Google+ contain large volume of unprocessed raw data. By analyzing this data new knowledge can be gained. Most of the social media data are unstructured and also dynamic. So the traditional text mining techniques will not suitable to handle these unstructured data. In this paper we discuss about text mining, areas of text mining, social media data, text mining techniques. In this paper a survey of the works done in the field of social network data analysis and techniques followed to perform the text mining on the social network data. This survey identify and analyse the text mining techniques and approaches used to analyse the social media data and finds the base for the text mining research in unstructured social media data

Keywords- Text mining, Social media, Social network data analysis

Unique Identification Number - IJEDR1803117
Page Number(s) - 710-712
Pubished in - Volume 6 | Issue 3 | September 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Suriyapavithra. K.V,  N.Mohamed Farook Ali,   "A survey and perspective analysis of text mining techniques in social media web portals", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.710-712, September 2018, Available at :http://www.ijedr.org/papers/IJEDR1803117.pdf