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Aspect Based Sentiment Analysis prompt by ripemetrics
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Template

Aspect Based Sentiment Analysis

by ripemetrics langchain-prompt--ripemetrics--aspect-based-sentiment-analysis
Nexus Index
0.0 Top 18%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 0
Q: Quality 0
Tech Context
Vital Performance
0 DL / 30D
0.0%

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.

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

Academic & Research Attribution

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

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
0.0
TOP 18% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 0
Quality (Q) 0

đŸ’Ŧ Index Insight

FNI V2.0 for Aspect Based Sentiment Analysis: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
❤ī¸
Likes
7

📋 Specs

Author
ripemetrics
Explore Source Node

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
7Likes
679Downloads
Hub Discussions
đŸ“ĻData Source: langchain
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Prompt Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id
langchain-prompt--ripemetrics--aspect-based-sentiment-analysis
source
langchain
author
ripemetrics
tags
StringPompTela,ExcshCFGRu:-3.5b

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
prompt-template

📊 Engagement & Metrics

likes
7
downloads
679
forks
0

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)