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Aspect Based Sentiment Analysis prompt by yavuzkomecoglu
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Aspect Based Sentiment Analysis

by yavuzkomecoglu ID: langchain-prompt--yavuzkomecoglu--aspect-based-sentiment-analysis

This prompt outputs the user comment in JSON format by doing aspect-based sentiment analysis. ABSA serves as a valuable tool for scrutinizing customer feedback by linking distinct sentiments to various facets of a product or service. * Sentiments: Evaluations of a specific aspect as either positive,...

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Prompt Information Summary
Entity Passport
Registry ID langchain-prompt--yavuzkomecoglu--aspect-based-sentiment-analysis
Provider langchain
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Cite this prompt

Academic & Research Attribution

BibTeX 
@misc{langchain_prompt__yavuzkomecoglu__aspect_based_sentiment_analysis,
  author = {yavuzkomecoglu},
  title = {Aspect Based Sentiment Analysis Prompt},
  year = {2026},
  howpublished = {\url{https://smith.langchain.com/hub/yavuzkomecoglu/aspect-based-sentiment-analysis}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
yavuzkomecoglu. (2026). Aspect Based Sentiment Analysis [Prompt]. Free2AITools. https://smith.langchain.com/hub/yavuzkomecoglu/aspect-based-sentiment-analysis

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AI Nexus Index

Methodology β†’ πŸ“˜ What is FNI?
0.0
Top 19% Overall Impact
πŸ”₯ Popularity (P) 0
πŸš€ Velocity (V) 0
πŸ›‘οΈ Credibility (C) 0
πŸ”§ Utility (U) 0
Nexus Verified Data

πŸ’¬ Why this score?

The Nexus Index for Aspect Based Sentiment Analysis aggregates Popularity (P:0), Velocity (V:0), and Credibility (C:0). The Utility score (U:0) represents deployment readiness, context efficiency, and structural reliability within the Nexus ecosystem.

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πŸ“Š P: HuggingFace Stats πŸ“ˆ V: 7-Day Delta πŸ“„ C: Papers With Code πŸ”§ U: Deploy Score
Data Verified πŸ• Last Updated: Not calculated
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πŸ“‹ Specs

Author
yavuzkomecoglu
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Technical Deep Dive

This prompt outputs the user comment in JSON format by doing aspect-based sentiment analysis.

ABSA serves as a valuable tool for scrutinizing customer feedback by linking distinct sentiments to various facets of a product or service.

  • Sentiments: Evaluations of a specific aspect as either positive, neutral or negative.
  • Aspects: The category, feature, or subject under discussion.

Social Proof

HuggingFace Hub
8Likes
1.3KDownloads
Hub Discussions
πŸ“¦Data Source: langchain
πŸ”„ Daily sync (03:00 UTC)

AI Summary: Based on langchain metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

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πŸ†” Identity & Source

id
langchain-prompt--yavuzkomecoglu--aspect-based-sentiment-analysis
source
langchain
author
yavuzkomecoglu
tags
StringPromptTemplate,Extraction,Tagging,English,Chinese,French,German,Spanish,Russian,openai:gpt-3.5-turbo,langchain,prompt

βš™οΈ Technical Specs

architecture
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params billions
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context length
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pipeline tag
prompt-template

πŸ“Š Engagement & Metrics

likes
8
downloads
1,273
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Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)