Software Alternatives & Reviews

FastText VS Google Cloud Natural Language API

Compare FastText VS Google Cloud Natural Language API and see what are their differences

FastText logo FastText

Library for efficient text classification and representation learning

Google Cloud Natural Language API logo Google Cloud Natural Language API

Natural language API using Google machine learning
  • FastText Landing page
    Landing page //
    2022-05-27
  • Google Cloud Natural Language API Landing page
    Landing page //
    2023-08-06

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

Google Cloud Natural Language API videos

No Google Cloud Natural Language API videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to FastText and Google Cloud Natural Language API)
Natural Language Processing
NLP And Text Analytics
11 11%
89% 89
Spreadsheets
15 15%
85% 85
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Natural Language API should be more popular than FastText. It has been mentiond 13 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.

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

Google Cloud Natural Language API mentions (13)

  • Best AI SEO Tools for NLP Content Optimization
    Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: 5 months ago
  • What do you think AI will replace SEO ?
    Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: 7 months ago
  • Natural Language API demo
    Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: 12 months ago
  • From pixels to information with Document AI
    We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / about 1 year ago
  • Google Cloud Reference
    Cloud Natural Language API: Text parsing and analysis 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing FastText and Google Cloud Natural Language API, you can also consider the following products

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

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

Amazon Comprehend - Discover insights and relationships in text

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

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.