Software Alternatives & Reviews

TextBlob VS FastText

Compare TextBlob VS FastText and see what are their differences

TextBlob logo TextBlob

Natural Language Processing (NLP)

FastText logo FastText

Library for efficient text classification and representation learning
  • TextBlob Landing page
    Landing page //
    2020-03-01
  • FastText Landing page
    Landing page //
    2022-05-27

TextBlob videos

Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python

More videos:

  • Tutorial - How to Calculate Sentiment Using TextBlob - Part 5 - Python Yelp Sentiment Analysis
  • Review - A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka

FastText videos

Beyond word2vec: GloVe, fastText, StarSpace - Konstantinos Perifanos

More videos:

  • Tutorial - fastText Python Tutorial- Text Classification and Word Representation- Part 1
  • Review - [Paper Reivew] FastText: Enriching Word Vectors with Subword Information

Category Popularity

0-100% (relative to TextBlob and FastText)
Spreadsheets
67 67%
33% 33
Natural Language Processing
NLP And Text Analytics
71 71%
29% 29
Data Analysis
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, FastText seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TextBlob mentions (0)

We have not tracked any mentions of TextBlob yet. Tracking of TextBlob recommendations started around Mar 2021.

FastText mentions (4)

  • Building a New Latin Translator | Progress + Need Verification on Conjugations Before I process every word I have available into about 900,000 total forms.
    Here is one library that will be used for the training https://fasttext.cc/ this allows for the consensus across multiple languages so that we can define our mystery word correctly. Source: over 2 years ago
  • Show HN: The Sample – newsletters curated for you with machine learning
    (response to edit) > The classification problem is interesting though. I ended up with a long list of hundreds of topics. Most articles fall in two or more. There's also a sub-problem of clustering news by subject. Yeah, certainly difficult. I'm doing it partially manually right now but also with fastText[1]. I'd like to switch completely to fastText soon though since more often than not the newsletters I add... - Source: Hacker News / almost 3 years ago
  • Show HN: The Sample – newsletters curated for you with machine learning
    I'm planning to build a business on this, so probably won't open-source it--but I'm always looking for interesting things to write about! I write a weekly newsletter called Future of Discovery[1]; I might write up some more implementation details there in a week or two. In the mean time, most of the heavy lifting is done by the Surprise python lib[2]. It's pretty easy to play around with, just give it a csv of... - Source: Hacker News / almost 3 years ago
  • Virtual Sommelier, text classifier in the browser
    FastText is a Facebook tool that, among other things, is used to train text classification models. Unlike Tensorflow.js, it is more intended to work with text so we don't need to pass a tensor and we can use the text directly. Training a model with it is much faster and there are fewer hyperparameters. Besides, to use the model from the browser is possible through WebAssembly. So it's a good alternative to try.... - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing TextBlob and FastText, you can also consider the following products

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Amazon Comprehend - Discover insights and relationships in text

Gensim - Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.

Google Cloud Natural Language API - Natural language API using Google machine learning

rasa NLU - A set of high level APIs for building your own language parser

NLTK - NLTK is a platform for building Python programs to work with human language data.