TextBlob, Natural language processing made simple in Python
TextBlob, Natural language processing made simple in Python launched on August 10, 2013 with 303 votes, #1 of 475 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 13 years on.
In plain words
TextBlob is a Python library for processing and analyzing text data. It offers a simple API for common natural language processing tasks including part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and translation. The tool is designed for Python developers who need straightforward access to NLP functionality and builds on established libraries like NLTK and pattern, integrating seamlessly with both.
written from the facts on this page · September 2026
From the sources
TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern , and plays nicely with both. TextBlob is a Python (2 and 3) library for processing textual data. It provides a consistent API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, andfrom textblob.readthedocs.org
Does a similar job
all alternatives →- TATextBlob API Demo delivered inside docker2013 · textblob-api-1743413701.us-east-1.elb.amazonaws.com · ▲23
- NLNatural Language Processing Demystified2022 · ▲286
Link: https://www.nlpdemystified.org/ Hi HN: After a year of work, I've published my free NLP course. The course helps anyone who knows Python and a bit of math go from the basics to today's mainstream models and frameworks. I strive to balance theory and practice, so every module consists of detailed explanations and slides along with a Colab notebook putting the ideas into practice (in most modules). The notebooks cover how to accomplish everyday NLP tasks including extracting key information, document search, text similarity, text classification, finding topics in…
Natural Language Processing Demystified (Part One)2022 · nlpdemystified.org · ▲166Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…


Natural-SQL-7B, a strong text-to-SQL model2024 · github.com · ▲362Would love thoughts! Here is the HF page: https://huggingface.co/chatdb/natural-sql-7b
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