sense2vec | 🦆 Contextually-keyed word vectors | Natural Language Processing library

 by   explosion Python Version: 2.0.2 License: MIT

kandi X-RAY | sense2vec Summary

kandi X-RAY | sense2vec Summary

sense2vec is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Natural Language Processing applications. sense2vec has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install sense2vec' or download it from GitHub, PyPI.

sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detailed word vectors. This library is a simple Python implementation for loading, querying and training sense2vec models. For more details, check out our blog post. To explore the semantic similarities across all Reddit comments of 2015 and 2019, see the interactive demo.

            kandi-support Support

              sense2vec has a highly active ecosystem.
              It has 1510 star(s) with 238 fork(s). There are 50 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 20 open issues and 91 have been closed. On average issues are closed in 64 days. There are no pull requests.
              It has a negative sentiment in the developer community.
              The latest version of sense2vec is 2.0.2

            kandi-Quality Quality

              sense2vec has 0 bugs and 0 code smells.

            kandi-Security Security

              sense2vec has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              sense2vec code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              sense2vec is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              sense2vec releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              sense2vec saves you 805 person hours of effort in developing the same functionality from scratch.
              It has 1970 lines of code, 115 functions and 19 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed sense2vec and discovered the below as its top functions. This is intended to give you an instant insight into sense2vec implemented functionality, and help decide if they suit your requirements.
            • Evaluate Sense2vec
            • Add a new key
            • Set frequency for key
            • Ensure key is an integer
            • Train a sentence embedding
            • Find the best sense for a given word
            • Return the frequency of the given key
            • Return the most similar key in s2v
            • Generate a key from an object
            • Evaluate a given dataset
            • Find the most similar keys in the table
            • Return the shape of the file
            • Evaluate the given keys
            • Returns True if obj is in s2v
            • Return a numpy array of s2v
            • The frequency of the s2v
            • A sorted list of the frequencies
            • Return the list of otherenses of an object
            • Make key from word
            • Reads a vocab file
            • Write data to disk
            • Merge all spans in a document
            • Return a list of keys that are min_ratio
            • Find redundant keys in vocab
            • Make a key from a token
            • Evaluate the most similar words
            • Dict key to row2key
            Get all kandi verified functions for this library.

            sense2vec Key Features

            No Key Features are available at this moment for sense2vec.

            sense2vec Examples and Code Snippets

            Searching the vectors
            HTMLdot img1Lines of Code : 3dot img1License : Permissive (MIT)
            copy iconCopy
            Leaf: Multiple-Choice Question Generation,Generating incorrect options (distractors)
            Jupyter Notebookdot img2Lines of Code : 2dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            'answer' + ' + 'question' + 'context' 
            'distractor1' + ' + 'distractor2' + ' 'distractor3' 

            Community Discussions

            Trending Discussions on sense2vec


            sense2vec performance improvemets
            Asked 2020-Jan-21 at 08:25

            I am using Sense2Vec (builds upon Spacy, a fantastic NLP library/tool) and testing the similarity between various words. Unfortunately the performance is quite slow (execution is over a second on a regular MacBook Pro).

            Does anyone have a way to speed this up?

            Here is the code:



            Answered 2020-Jan-21 at 08:25

            There is indeed a way to speed up Sense2Vec.most_similar. There is a script available from, which precomputes a cache of the nearest neighbors. It will then save that cache with the component on disk, making the data larger but the queries fast. If a query is not covered by the cache, most_similar falls back to using the normal computation.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install sense2vec

            sense2vec releases are available on pip:.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            pip install sense2vec

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            gh repo clone explosion/sense2vec

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