Lexicon-based Sentiment Analysis

Lexicon-Based Sentiment Analysis is a sentiment analysis approach that relies on predefined lexical resources containing sentiment-bearing words and their associated polarity scores to determine the emotional orientation of text.

1.3K

Publications

100.2K

Citations

3.5K

Authors

1.2K

Institutions

Publications per year

2017–2026

752

Variants

Dictionary-based Sentiment Analysis

Authors

3.5K

  1. SM
    Saif M. Mohammad

    National Research Council Canada, Canada

    14 publications · 1.6K citations

    14

    h-index

  2. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    9 publications · 2.4K citations

    9

    h-index

  3. SK
    Svetlana Kiritchenko

    National Research Council Canada, Canada

    9 publications · 2K citations

    9

    h-index

  4. ST
    Songbo Tan

    Chinese Academy of Sciences, China

    7 publications · 304 citations

    7

    h-index

  5. ME
    Mohammad Ehsan Basiri

    Shahrekord University, Iran

    7 publications · 215 citations

    7

    h-index

1–5 of 3.5K

Venues

  1. IEEE Access

    34 publications · 2.2K citations

    23

    h-index

  2. Expert Systems with Applications

    22 publications · 3.6K citations

    21

    h-index

  3. arXiv (Cornell University)

    Repository · 26 publications · 2.3K citations

    19

    h-index

  4. Knowledge-Based Systems

    19 publications · 2.4K citations

    18

    h-index

  5. Information Processing & Management

    15 publications · 1.3K citations

    15

    h-index

1–5