Open AccessE-Tool: Online Emotion Mining Tool
Author(s) -
Rishu Gupta,
Williamjeet Singh
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-v2-i3-301
Subject(s) - computer science , sentence , domain (mathematical analysis) , task (project management) , emotion classification , process (computing) , sentiment analysis , social media , natural (archaeology) , natural language processing , artificial intelligence , world wide web , mathematical analysis , mathematics , management , archaeology , economics , history , operating system
Emotion recognition is the process of identifying human emotion. People vary widely in their accuracy at recognizing the emotions of others. Use of technology to help people with emotion recognition is a relatively blossoming research area. Many different sources of information, such as speech, text and visual can be used to analyze emotions. Nowadays, writings may take many forms like social media posts, blogs, news pieces, research papers etc., and the content of these writings can be useful resource for text mining to discover and reveal various aspects, including emotions. Extracting emotions behind these writings is a very complicated task. To tackle this problem, researchers from assorted fields are trying to find an efficient way to more accurately detect human emotions from various sources, including text and speech. In this sense, different word-based and sentence-based techniques, machine learning, natural language processing methods, etc., have been used to achieve better accuracy. Analyzing emotions can be helpful in many different domains. One such domain is detecting emotions from the research papers written by different writers. The emotion recognition online tool, help users understand the emotional state of the writer and make a better choice in choosing his/her domain. This study covers, detecting of different emotions from the titles of research papers found at Google scholar using online emotion recognition tool.