NLTK TweetTokenizer
NLTK's TweetTokenizer is explicitly designed for social media text, and is capable of handling hashtags, mentions, and emojis.
Visit siteNLP Models for Sentiment Analysis
A hand-verified directory of NLP models and libraries for sentiment analysis — from classic lexicon and rule-based tools to modern transformer-based language models.
15Models & tools listed
TextBlob
A Python library providing a simple API for diving into NLP tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and translation.
Visit sitespaCy
spaCy excels at large-scale information extraction tasks, with support for 75+ languages and production-ready text classification pipelines.
Visit sitePattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis, and visualization.
Visit siteGensim
An open-source library for unsupervised topic modeling, document indexing, retrieval by similarity, and other natural language processing functionalities.
Visit siteVADER
Valence Aware Dictionary and sEntiment Reasoner — a lexicon and rule-based sentiment analysis tool specifically attuned to social media sentiments, and works well on other domains too.
Visit sitepysentiment
A library for sentiment analysis in a dictionary framework, bundling the Harvard IV-4 and Loughran-McDonald financial sentiment dictionaries.
Visit sitePolyglot
A natural language pipeline that supports massive multilingual applications, including sentiment analysis across 136 languages.
Visit siteFlair
Applies state-of-the-art NLP models to your text, such as named entity recognition (NER), sentiment analysis, and part-of-speech tagging (PoS), with special support for biomedical data.
Visit siteBERT
Bidirectional Encoder Representations from Transformers (BERT) is a Machine Learning (ML) model for natural language processing, including sentiment analysis.
Visit siteGPT-2
Generative Pre-Training model by OpenAI, performing both unsupervised and supervised learning to learn text representations for NLP downstream tasks. Repository archived by OpenAI in April 2026; code remains accessible read-only.
Visit siteTransformer-XL
A pre-trained language model that can be fine-tuned for a variety of tasks, including sentiment analysis. Moved: no longer documented in the latest stable Transformers release; URL updated to the "main" version of the docs.
Visit siteXLNet
A general-purpose autoregressive pre-trained language model, usable for sentiment analysis and other downstream NLP tasks.
Visit siteRoBERTa
A robustly optimized BERT pretraining approach from Meta AI, achieving strong results on downstream classification and sentiment tasks. Now hosted under the FacebookAI namespace on Hugging Face.
Visit siteDistilBERT
A small, fast, cheap, and light Transformer model trained by distilling BERT base, retaining over 95% of BERT's performance at 60% of the size.
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