Updated: Feb 10, 2023
Guide Kit Β These are the top Python libraries for sentiment analysis. These libraries can be used to examine reviews of products, survey results, and customer feedback. Using sentiment analysis to spot trends and find recurrent issues, you can organize and categorize this data.
Determining a text's innate mood, emotion, or sentiment is sentiment analysis's supreme objective. Sentiment analysis falls under text classification and is a use case of natural language processing (NLP). In simple terms, sentiment analysis involves categorizing a text into different emotions, such as positive or negative, neutral, or happy or sad. Sentiment analysis can be useful in various contexts, including social media monitoring, reputation management, and customer experience.
The best sentiment analysis libraries in the language of Python have been listed below, professionally curated to assist developers progressively.
TextBlob -
- Lexicon-based sentiment analyzer.
- Used for processing textual data.
- Used for Noun phrase extraction, translation, part-of-speech tagging, etc.
TextBlobby sloria
8597 Version:0.7.0Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
TextBlobby sloria
Python 8597 Version:0.7.0 License: Permissive (MIT)
pattern -
- It has an inbuilt function for sentiment analysis that returns polarity and subjectivity.
- The Polarity result ranges from highly Positive to highly negative (1 to -1)
- The subjectivity ranges from 0(Objective) to 1(Subjective).
patternby clips
8482 Version:3.7-betaWeb mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
patternby clips
Python 8482 Version:3.7-beta License: Permissive (BSD-3-Clause)
vaderSentiment -
- Valence Aware Dictionary and Sentiment Reasoner
- Lexicon and rule-based sentiment analysis tool
- Tuned explicitly to sentiments expressed on social media
vaderSentimentby cjhutto
3977 Version:0.5VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
vaderSentimentby cjhutto
Python 3977 Version:0.5 License: Permissive (MIT)
stocksight -
- Uses Elasticsearch to store Twitter and news headlines data for stocks.
- Sentiment analysis on the text to determine what someone feels about a stock.
- Open-source analysis software.
stocksightby shirosaidev
1714 Version:v0.1-b.12Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
stocksightby shirosaidev
Python 1714 Version:v0.1-b.12 License: Permissive (Apache-2.0)
retentioneering-tools -
- Python framework to analyze event streams, clickstreams, and event logs.
- In-depth analysis of customer journey maps.
- Behavior-driven segmentation of users.
retentioneering-toolsby retentioneering
647 Version:v3.0.0Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.
retentioneering-toolsby retentioneering
Python 647 Version:v3.0.0 License: Others (Non-SPDX)
tweetnlp -
- Tools to understand tweets for sentiment analysis.
- Also used for emoji prediction and named-entity recognition.
- Designed specifically targeting NLP Processes involving Twitter.
tweetnlpby cardiffnlp
176 Version:initTweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction, and named entity recognition, powered by state-of-the-art language models specialised on Twitter.
tweetnlpby cardiffnlp
Python 176 Version:init License: Permissive (MIT)
pysentiment -
- Library for sentiment analysis in dictionary framework.
- Harvard IV-4 dictionary for general sentiment analysis.
- McDonald dictionary for financial sentiment analysis.
pysentimentby hanzhichao2000
68 Version:CurrentA library for sentiment analysis in dictionary framework.
pysentimentby hanzhichao2000
Python 68 Version:Current License: Strong Copyleft (GPL-2.0)
asent -
- Rule-based sentiment analysis library for Python.
- Made using spaCy and inspired by Vader.
- Uses a more modular ruleset.
asentby KennethEnevoldsen
95 Version:v0.7.1Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.
asentby KennethEnevoldsen
Python 95 Version:v0.7.1 License: Permissive (MIT)
Stocksent -
- Several functions to analyze sentiments of stocks based on trusted news sources.
- Sentiment analysis of various tickers.
- Has options for plotting results.
Stocksentby Aryagm
38 Version:CurrentA Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results. πππ°
Stocksentby Aryagm
Python 38 Version:Current License: Weak Copyleft (MPL-2.0)