Software Alternatives, Accelerators & Startups

Voice Elements VS Gensim

Compare Voice Elements VS Gensim and see what are their differences

Voice Elements logo Voice Elements

Web components that do amazing things w/ the web speech api

Gensim logo Gensim

Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.
  • Voice Elements Landing page
    Landing page //
    2022-01-10
  • Gensim Landing page
    Landing page //
    2023-01-23

Voice Elements videos

Voice Elements for Microsoft Teams

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)

Category Popularity

0-100% (relative to Voice Elements and Gensim)
Developer Tools
100 100%
0% 0
Natural Language Processing
AI
100 100%
0% 0
Spreadsheets
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Gensim seems to be more popular. It has been mentiond 9 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.

Voice Elements mentions (0)

We have not tracked any mentions of Voice Elements yet. Tracking of Voice Elements recommendations started around Jan 2022.

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 1 year 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: almost 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 / about 2 years ago
  • [Research] Text summarization using Python, that can run on Android devices?
    TextRank will work without any problems. Https://radimrehurek.com/gensim/. Source: over 2 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 2 years ago
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What are some alternatives?

When comparing Voice Elements and Gensim, you can also consider the following products

AssemblyAI - Speech Recognition for Everyone and Everything.

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

Deepgram - Search engine for speech

FastText - Library for efficient text classification and representation learning

Speechly - Our tools help software development teams improve their products by removing friction from the touch screen experience by bringing in the voice modality.

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