Visualization and detection based on user behavior typing

Document Type : Primary Research paper

Authors

Assistant Professor, CSE Department, Nehru Institute of Technology

Abstract

Sentimental analysis also
known as opinion mining refers to the use
of natural language processing, text
analysis and computational linguistics to
identify and extract Linguistics to identify
and extract Subjective information in
source materials. Sentiment Analysis (SA)
is ongoing field of research in text mining
field However, there are still some
challenges to overcome before sentiment
analysis have become a perfect tool. In
this paper, a noval sentimental analysis
approach is proposed to determine
whether the attitude behind the text is
happy, slightly tensed, tensed, very tensed
or normal. By considering the parameters
such ascount of backspaces, count of
delete button and typing speed everyone
would be able to judge an individual’s
temperament at that point of time and
can give suggestions to change the mood if
the user is in negative attitude.Based on
the analytics of the user history of typing
and live typing parameters,effective
visualization of user behavior is obtained.

Keywords


Volume 11, Issue 1
International Virtual Conference on Materials, Manufacturing and Nanotechnology, December 2020
May 2020
Pages 509-512