Volume & Issue no: Volume 10, Issue 1, January - February 2021
____________________________________________________________________________________________________
Title: |
Emotion Detection and Sentiment Analysis for Hindi Movie Reviews |
Author Name: |
Mariya A. Ali, Sonali B. Kulkarni |
Abstract: |
Abstract:Sentiment Analysis and Emotion Detection is an
emerging research field and this task is very important because
peoples spent their most of the time on Internet. Text Mining
has achieved amazing momentum currently in English
language, As India is the multilingual society, this technology
plays a very crucial role especially for Regional Language for
better Understanding about the content web and Make it
friendlier to native users .Obtaining Emotion from text is
comparatively progressing slowly when compared with speech
and other features. Movie reviews play an important role in
recognizing the Sentiments of people and are used as a measure
to determine the performance of a film. However, providing the
reviews of the film can help in knowing the success or failure of
a movie. A collection of movie reviews from distinct users
provides us deep insights on different elements of a movie. There
is a need to analyze the Hindi language content and get insight
of sentiment and emotion expressed by people about movies. The
study of public opinion can provide us with valuable
information. In recent years, it has been demonstrated that deep
learning area gives promising solution to the challenges of
Natural Language Processing, using term frequency-inverse
document frequency (TF-IDF). The primary objective of this
study is to Analyze Sentiment and Detect Emotion from a
collection of Hindi movie reviews. This research work may be
used by the movie industry to facilitate better user experience.
Keywords: Natural language,Word net, Sentiment
Analysis, Emotion Detection |
Cite this article: |
Mariya A. Ali, Sonali B. Kulkarni , "
Emotion Detection and Sentiment Analysis for Hindi Movie Reviews" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 10, Issue 1, January - February 2021 , pp.
032-038 , ISSN 2278-6856.
|
| Full Text [PDF] Back to Current Issue | |
NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week.