SnowNLP
Python library for processing Chinese text (by isnowfy)
TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. (by sloria)
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| SnowNLP | TextBlob | |
|---|---|---|
| 1 | 4 | |
| 6,312 | 8,937 | |
| - | - | |
| 0.0 | 6.1 | |
| over 4 years ago | 5 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SnowNLP
Posts with mentions or reviews of SnowNLP.
We have used some of these posts to build our list of alternatives
and similar projects.
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Recommendations for Chinese language sentiment analysis in Python?
I've found SnowNLP, but most of the library is over six years old, which is not ideal for long-term projects as it's outside the support window. SnowNLP's methodology for training sentiment data also sounds messy and unreliable. I couldn't find anything else.
TextBlob
Posts with mentions or reviews of TextBlob.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-10.
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Using EvaDB to build AI-enhanced apps
TextBlob is a Python toolkit for text processing. It offers some common NLP functionalities such as part-of-speech tagging and noun phrase extraction. We’ll use TextBlob in our project to perform some quick sentiment analysis on tweets.
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Which NLP Library should I use?
I think they reference the "other TextBlob" on there website and say that they use it. In case it is this what you mean: https://github.com/sloria/TextBlob
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Any way for Python to interpret words?
Check out TextBlob — Spelling correction, splitting text into words and sentences, sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more
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Sentiment Analysis of r/nfl live-streamed comments
The TextBlob: Simplified Text Processing library to perform Sentiment Analysis
What are some alternatives?
When comparing SnowNLP and TextBlob you can also consider the following projects:
Jieba - 结巴中文分词
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
NLTK - NLTK Source
textacy - NLP, before and after spaCy
Pattern - Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
polyglot - Multilingual text (NLP) processing toolkit
TextGrocery - A simple short-text classification tool based on LibLinear
quepy - A python framework to transform natural language questions to queries in a database query language.