Identifying the Strength of Emotions in Relation with the Topic of Text Using Word Space

DOI

10.2991/csit-19.2019.1How to use a DOI?

Keywords

Word space, emotion, class, summarization, internet, blogs, communication, topic, strength

Abstract

Emotion analysis from text is a topic of growing interest over recent years. It is because of the growth and availability of internet. The emotion analysis from text and the strength of the emotions in text plays an important role in understanding and predicting the future events. In this paper, we are identifying the relationship between the strength of emotions and the topic of the text. In our methodology, we extend the concept of Word space that we proposed in our previous works for analyzing emotions. In Word space distances between the words and their occurrences are measures. The emotion carry words with relatively high frequency and less distance between their occurrences are strong emotions. Whereas less frequent emotions that occurs far from, each other are considered less intense emotions in the text. We also made a comparison between the changes in intensity of emotions on same topics over period. The paper is divided into different section. In the methodology and conclusion section, the results of our research mentioned in detail.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Anatoly Beltiukov
AU  - Mohsin Manshad Abbasi
PY  - 2019/12
DA  - 2019/12
TI  - Identifying the Strength of Emotions in Relation with the Topic of Text Using Word Space
BT  - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 2589-4900
UR  - https://doi.org/10.2991/csit-19.2019.1
DO  - 10.2991/csit-19.2019.1
ID  - Beltiukov2019/12
ER  -