TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. (by sloria)
spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python (by explosion)
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| TextBlob | spaCy | |
|---|---|---|
| 4 | 106 | |
| 8,937 | 28,704 | |
| - | 1.3% | |
| 6.1 | 9.2 | |
| 2 days ago | 6 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.
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
spaCy
Posts with mentions or reviews of spaCy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-06.
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Step by step guide to create customized chatbot by using spaCy (Python NLP library)
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
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Best AI SEO Tools for NLP Content Optimization
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging.
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Who has the best documentation you’ve seen or like in 2023
spaCy https://spacy.io/
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A beginner’s guide to sentiment analysis using OceanBase and spaCy
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy.
- Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers
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Against LLM Maximalism
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post.
The steps described in "LLM pragmatism" are basically what I see my data science friends doing — it's hard to justify the cost (money and latency) in using LLMs directly for all tasks, and even if you want to you'll need a baseline model to compare against, so why not use LLMs for dataset creation or augmentation in order to train a classic supervised model?
[0] https://spacy.io/
[1] https://prodi.gy/
- Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
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How to predict this sequence?
spaCy
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What do you all think about (setq sentence-end-double-space nil)?
I chose spacy. Although it's not state of the art, it's very well established and stable.
- spaCy: Industrial-Strength Natural Language Processing
What are some alternatives?
When comparing TextBlob and spaCy you can also consider the following projects:
NLTK - NLTK Source
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
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
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
Jieba - 结巴中文分词
textacy - NLP, before and after spaCy
langid.py - Stand-alone language identification system