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FastText

Stacks31

Followers61

+ 1

Votes1

Gensim

Stacks63

Followers78

+ 1

Votes0

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Gensim vs FastText: What are the differences?

Gensim: A python library for Topic Modelling. It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community; FastText: Library for efficient text classification and representation learning. It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.

Gensim and FastText can be primarily classified as "NLP / Sentiment Analysis" tools.

Gensim is an open source tool with 9.86K GitHub stars and 3.56K GitHub forks. Here's a link to Gensim's open source repository on GitHub.

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Pros of FastText

Pros of Gensim

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Simple

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Cons of FastText

Cons of Gensim

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No step by step API support
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No in-built performance plotting facility or to get it
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No step by step API access

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What is FastText?

It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.

What is Gensim?

It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

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Jobs that mention FastText and Gensim as a desired skillset

Procurement Manager

CBRE

United States of America California Sunnyvale

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What are some alternatives to FastText and Gensim?

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

SpaCy

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

rasa NLU

rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

Transformers

It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.

Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.

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FastText vs Gensim

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Pros of FastText

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Cons of FastText

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What is FastText?

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What companies use FastText?

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What tools integrate with FastText?

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