Sentiment Lab
This is a free playground to compare how 12 sentiment models detect emotion
Example Reviews
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Model Comparison
| Architecture | Model | Open Source | Language Support |
|---|---|---|---|
Rule and Lexicon Based A combination of rule-based and lexicon-based approaches, using predefined sentiment scores and heuristics for text classification. | |||
Rule-based sentiment analyzer. Especially attuned to sentiments expressed in social media. | English | ||
Simple, rule-based sentiment analysis library for Python. Provides polarity and subjectivity scores. | English | ||
Uses SentiWordNet, a lexical database of words and their associated sentiment scores. | English | ||
DistilBERT A smaller, distilled version of BERT that retains 97% of BERT's performance while being 60% faster and using fewer parameters. | |||
Optimized for English sentiment analysis. Trained on movie reviews for nuanced understanding. | English | ||
A lighter, faster multilingual model. Good balance between performance and efficiency. | Multilingual | ||
BERT A transformer-based model pre-trained on large corpora using a masked language modeling task to capture bidirectional context in text. | |||
Supports multiple languages. Provides fine-grained sentiment scores on a scale of 1 to 5. | Multilingual | ||
RoBERTa A variant of BERT that improves performance by training longer on more data, with dynamic masking and no next-sentence prediction. | |||
Specialized for social media content, particularly Twitter. Updated in 2022 for current language trends. | Primarily English, social media-focused | ||
A large, English-specific sentiment analysis model. Trained on a diverse corpus for robust understanding. | English | ||
Proprietary Sentiment A cloud-based natural language processing (NLP) service using machine learning models to analyze text for sentiment, entities, key phrases, and language. | |||
Amazon's NLP service. Provides sentiment analysis alongside key phrase extraction and language detection. | Multilingual | ||
Leverages Google's NLP capabilities. Offers sentiment analysis with additional entity recognition. | Multilingual | ||
GPT An autoregressive transformer-based model designed for generating human-like text, trained on large datasets to predict the next word in a sequence using a unidirectional context. | |||
OpenAI's GPT-4o Mini - constrained to output positive, negative, neutral or mixed. | Multilingual | ||
OpenAI's latest GPT-4o model - constrained to output positive, negative, neutral or mixed. | Multilingual |
