Sentiment Analysis
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
npx skills add majiayu000/claude-skill-registry --skill sentiment-analysis-aj-geddes-useful-ai-prompts-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Sentiment Analysis ## Overview Sentiment analysis determines emotional tone and opinions in text, enabling understanding of customer satisfaction, brand perception, and feedback analysis. ## Approaches - **Lexicon-based**: Using sentiment dictionaries - **Machine Learning**: Training classifiers on labeled data - **Deep Learning**: Neural networks for complex patterns - **Aspect-based**: Sentiment about specific features - **Multilingual**: Non-English text analysis ## Sentiment Types - **Positive**: Favorable, satisfied - **Negative**: Unfavorable, dissatisfied - **Neutral**: Factual, no clear sentiment - **Mixed**: Combination of sentiments ## Implementation with Python ```python import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.naive_bayes import MultinomialNB from sklearn.pipeline import Pipeline from sklearn.model_selection import train_test_split from sklearn.metrics import classification_report, confusion_matrix, accuracy_score import re from collections import Counter # Sample review data reviews_data = [ "This product is amazing! I love it so much.", "Terri
- Overview
- Approaches
- Sentiment Types
- Implementation with Python
- Methods Comparison
- Applications
- Deliverables
What does the Sentiment Analysis skill do?
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill sentiment-analysis-aj-geddes-useful-ai-prompts-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.