Software Alternatives, Accelerators & Startups

Gensim VS NLP.js

Compare Gensim VS NLP.js and see what are their differences

Gensim logo Gensim

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

NLP.js logo NLP.js

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more - axa-group/nlp.js
  • Gensim Landing page
    Landing page //
    2023-01-23
  • NLP.js Landing page
    Landing page //
    2023-08-02

Gensim features and specs

  • Efficient Memory Usage
    Gensim is designed to handle large text collections with efficient memory usage, ideal for processing big data without overloading the system.
  • Scalability
    The library facilitates scalable computing, allowing the processing and analysis of large datasets across distributed systems.
  • Easy Integration
    Gensim is easy to integrate with other Python libraries like NumPy and SciPy, enhancing its functionality and utility in various applications.
  • Unsupervised Learning
    It specializes in unsupervised topic modeling, making it suitable for discovering hidden patterns in text data using algorithms like LDA and LSI.
  • Community Support
    Gensim benefits from a strong community support with comprehensive documentation, facilitating easier learning and troubleshooting.

Possible disadvantages of Gensim

  • Limited Supervised Learning
    Gensim is primarily focused on unsupervised learning and lacks built-in support for comprehensive supervised learning models.
  • Performance Overhead
    Despite its focus on efficiency, certain models and algorithms in Gensim can be computationally intense, potentially leading to slow performance on very large datasets.
  • Complexity for Beginners
    The library might pose a steep learning curve for beginners, as understanding the implementations of models like LDA can be complex.
  • Sparse Documentation on Advanced Topics
    While basic functionalities are well-documented, advanced topics and use cases may lack sufficient documentation, potentially stalling development for complex projects.

NLP.js features and specs

No features have been listed yet.

Gensim videos

Word2Vec with Gensim - Python

More videos:

  • Review - Bhargav Srinivasa Desikan - Topic Modelling (and more) with NLP framework Gensim
  • Tutorial - How to Generate Custom Word Vectors in Gensim (Named Entity Recognition for DH 07)

NLP.js videos

No NLP.js videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Gensim and NLP.js)
Spreadsheets
56 56%
44% 44
Natural Language Processing
NLP And Text Analytics
61 61%
39% 39
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Gensim might be a bit more popular than NLP.js. We know about 9 links to it since March 2021 and only 8 links to NLP.js. 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.

Gensim mentions (9)

  • Understanding How Dynamic node2vec Works on Streaming Data
    This is our optimization problem. Now, we hope that you have an idea of what our goal is. Luckily for us, this is already implemented in a Python module called gensim. Yes, these guys are brilliant in natural language processing and we will make use of it. 🤝. - Source: dev.to / over 2 years ago
  • Is it home bias or is data wrangling for machine learning in python much less intuitive and much more burdensome than in R?
    Standout python NLP libraries include Spacy and Gensim, as well as pre-trained model availability in Hugginface. These libraries have widespread use in and support from industry and it shows. Spacy has best-in-class methods for pre-processing text for further applications. Gensim helps you manage your corpus of documents, and contains a lot of different tools for solving a common industry task, topic modeling. Source: over 2 years ago
  • GET STARTED WITH TOPIC MODELLING USING GENSIM IN NLP
    Here we have to install the gensim library in a jupyter notebook to be able to use it in our project, consider the code below;. - Source: dev.to / almost 3 years ago
  • [Research] Text summarization using Python, that can run on Android devices?
    TextRank will work without any problems. Https://radimrehurek.com/gensim/. Source: about 3 years ago
  • Topic modelling with Gensim and SpaCy on startup news
    For the topic modelling itself, I am going to use Gensim library by Radim Rehurek, which is very developer friendly and easy to use. - Source: dev.to / over 3 years ago
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NLP.js mentions (8)

  • Natural Language Processing (NLP) in JavaScript (series 2)
    We'll use the "natural" NLP library; follow the previous session to understand how to set up your environment. - Source: dev.to / almost 2 years ago
  • Natural Language Processing (NLP) in JavaScript (series)
    Several NLP libraries are available, each offering distinct features and functionalities. One popular choice in the JavaScript ecosystem is the Natural Language Toolkit for JavaScript (NLP.js), which provides a wide range of NLP capabilities. - Source: dev.to / almost 2 years ago
  • [AskJS] Rate a string on how much sense it makes
    For a JS based approach you could try NLP libraries like this one: https://github.com/axa-group/nlp.js. Source: about 2 years ago
  • The full tech stack to run a chatbot — behind the scenes of an open source bot platform
    To determine which chatbot intent is the best match for the user textual input, we rely on nlp.js (in JS) though we are in the process of moving to our new Python NLP server for better optimization of the needs of eCommerce conversations. A preprocessor language model is also used to improve the chances of a matching. - Source: dev.to / almost 3 years ago
  • How to build your own chatbot NLP engine
    Probably not. In fact, in Xatkit we aim to be a chatbot orchestration platform exactly to avoid reinventing the wheel and the non-invented here syndrome. So, in most cases, other existing platform (like DialogFlow or nlp.js) will work just fine. But we have also realized that there are always some particularly tricky bots for which you really need to be able to customize your engine to the specific chatbot... - Source: dev.to / about 3 years ago
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What are some alternatives?

When comparing Gensim and NLP.js, you can also consider the following products

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

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

Amazon Comprehend - Discover insights and relationships in text

FastText - Library for efficient text classification and representation learning

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

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