JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006302

Page Number

2086-2092

Share This Article


Title

Emotion extraction from text: Analysis of four different algorithms

ISSN

2349-5162

Cite This Article

"Emotion extraction from text: Analysis of four different algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.2086-2092, June-2020, Available :http://www.jetir.org/papers/JETIR2006302.pdf

Abstract

Emotions play an important role in human life. In today’s internet world textual data has been proven as a main medium of communication in human-human and human-machine interaction. This increase in use of text for communication makes it a need to find the emotion present in textual data. This makes it important to provide a framework that can recognize the emotions present in the communication or the emotions of the users. Emotion recognition or sentiment analysis is a natural language processing task that mine information from textual data like twitter tweets, blogs, movie reviews and reviews from online websites and classify on the basis of polarity. Emotion Recognition Model extracts emotion from text at the sentence level. Our method uses 4 different deep learning algorithm and detects emotion from a text-input. To make the recognition more accurate, emotion-affect-bearing words and phrases were also analyzed. This experiment shows that the method could generate a good result for emotion detection from text input.

Key Words

Natural language processing (NLP), LSTM, SVM, CNN, HAN, tweepy

Cite This Article

"Emotion extraction from text: Analysis of four different algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp2086-2092, June-2020, Available at : http://www.jetir.org/papers/JETIR2006302.pdf

Publication Details

Published Paper ID: JETIR2006302
Registration ID: 234305
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 2086-2092
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"Emotion extraction from text: Analysis of four different algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp2086-2092, June-2020, Available at : http://www.jetir.org/papers/JETIR2006302.pdf




Preview This Article


Downlaod

Click here for Article Preview