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Emotion detection in blog posts using keyword spotting and semantic analysis

Published: 24 November 2017 Publication History

Abstract

In today's fast processing and dissemination of reading materials such as blogs, news and magazine, readers are looking for a way to be able to pinpoint what they want to read. Blogging is attracting research communities from various fields as a distinct social phenomenon. This paper targets to identify significant patterns in the emotions detected in each online blog reviews using keyword spotting and semantic analysis yield in the six basic emotions. The researchers applied different algorithms to detect and identify emotion in a blog. Annotation were done by subject matter experts in the post-processing stage of the methodology to validate the results of the experiment.

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Cited By

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  • (2023)SceneAlert: A Mass Media Brand Listening Tool2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)10.1109/MIUCC58832.2023.10278305(1-8)Online publication date: 27-Sep-2023
  • (2022)Context-aware Emotion Detection from Low-resource Urdu Language Using Deep Neural NetworkACM Transactions on Asian and Low-Resource Language Information Processing10.1145/352857622:5(1-30)Online publication date: 1-Apr-2022
  • (2021)Identifying and sensing emotional quotient weightage in the outcome using Speech DialogueIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/1022/1/0120131022(012013)Online publication date: 19-Jan-2021
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    cover image ACM Other conferences
    ICCIP '17: Proceedings of the 3rd International Conference on Communication and Information Processing
    November 2017
    545 pages
    ISBN:9781450353656
    DOI:10.1145/3162957
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 24 November 2017

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    Author Tags

    1. blogs
    2. emotion detection
    3. keyword spotting
    4. semantic analysis

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    Overall Acceptance Rate 61 of 301 submissions, 20%

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    View all
    • (2023)SceneAlert: A Mass Media Brand Listening Tool2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)10.1109/MIUCC58832.2023.10278305(1-8)Online publication date: 27-Sep-2023
    • (2022)Context-aware Emotion Detection from Low-resource Urdu Language Using Deep Neural NetworkACM Transactions on Asian and Low-Resource Language Information Processing10.1145/352857622:5(1-30)Online publication date: 1-Apr-2022
    • (2021)Identifying and sensing emotional quotient weightage in the outcome using Speech DialogueIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/1022/1/0120131022(012013)Online publication date: 19-Jan-2021
    • (2019)Corpus for Emotion Detection on Roman Urdu2019 22nd International Multitopic Conference (INMIC)10.1109/INMIC48123.2019.9022782(1-6)Online publication date: Nov-2019

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