Influencer Sentiment Analysis

Influencer Sentiment Analysis is a computational method within social media analytics that identifies and quantifies the emotional tone expressed in influencer-generated content to assess audience perception and engagement potential, distinguishing it from general sentiment analysis by focusing specifically on the sentiment patterns and influence dynamics associated with individual content creators.

45

Publications

1.8K

Citations

132

Authors

85

Institutions

Publications per year

2017–2026

39

Authors

132

  1. KS
    Kuldeep Singh

    Indian Institute of Information Technology Allahabad, India

    2 publications · 60 citations

    2

    h-index

  2. JY
    Jitendra Yadav

    Indian Institute of Information Technology Allahabad, India

    2 publications · 60 citations

    2

    h-index

  3. MM
    Madhvendra Misra

    Indian Institute of Information Technology Allahabad, India

    2 publications · 60 citations

    2

    h-index

  4. MA
    Mohammad Ali Zare Chahooki

    Yazd University, Iran

    1 publications · 23 citations

    1

    h-index

  5. GD
    Gordon D. A. Brown

    University of Warwick, United Kingdom

    1 publications · 86 citations

    1

    h-index

1–5 of 132

Venues

  1. Expert Systems with Applications

    2 publications · 78 citations

    2

    h-index

  2. Journal of Business Research

    JBR · 2 publications · 282 citations

    2

    h-index

  3. IEEE Access

    1 publications · 23 citations

    2

    h-index

  4. 2

    h-index

  5. JMIR Formative Research

    1 publications · 28 citations

    1

    h-index

1–5