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Natural Language Processing Journal is a peer-reviewed journal published by Elsevier, covering Topic Modeling, Natural Language Processing Techniques, Sentiment Analysis and Opinion Mining.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Natural Language Processing Journal 12 (2023) 45–58.
Formats any DOI in Natural Language Processing Journal style. No sign-up. |
| Publishes research in | Topic Modeling Natural Language Processing Techniques Sentiment Analysis and Opinion Mining Advanced Text Analysis Techniques Hate Speech and Cyberbullying Detection |
| ISSN | 2949-7191 |
| Citation impact (2-yr) | 9.5 |
| h-index | 27 |
| i10-index | 66 |
| Total citations | 3,270 |
| Open access | Yes |
| Top institutions publishing here | Ollscoil na Gaillimhe – University of Galway |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
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Sentiment analysis is a method within natural language processing that evaluates and identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and phrases categorizes them into positive, negative, or neutral sentiments. The significance of sentiment analysis lies in its capacity to derive valuable insights from extensive textual data, empowering businesses to grasp…
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