word2vec-api | Simple web service providing a word embedding model | Natural Language Processing library

by 3Top Python Version: v0.1 License: No License

X-Ray Key Features Code Snippets(2)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | word2vec-api Summary

word2vec-api is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. word2vec-api has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can download it from GitHub.

Simple web service providing a word embedding API. The methods are based on Gensim Word2Vec implementation. Models are passed as parameters and must be in the Word2Vec text or binary format. Updated to run on Python 3. * Install Dependencies. Note: The "model" method returns a base64 encoding of the vector. "model\_word\_set" returns a base64 encoded pickle of the model’s vocabulary.

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Support

word2vec-api has a medium active ecosystem.

It has 1400 star(s) with 355 fork(s). There are 61 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 9 have been closed. On average issues are closed in 538 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of word2vec-api is v0.1

Quality

word2vec-api has 0 bugs and 0 code smells.

Security

word2vec-api has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

word2vec-api code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

word2vec-api does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

word2vec-api releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

word2vec-api saves you 84 person hours of effort in developing the same functionality from scratch.

It has 215 lines of code, 10 functions and 2 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed word2vec-api and discovered the below as its top functions. This is intended to give you an instant insight into word2vec-api implemented functionality, and help decide if they suit your requirements.

Request the most similar words
Filters the given list of words
Read a single UTF8 character from source
Returns the length of a codepoint
Get n_similarity

Get all kandi verified functions for this library.

word2vec-api Key Features

No Key Features are available at this moment for word2vec-api.

word2vec-api Examples and Code Snippets

Word2vec,API

Python

Lines of Code : 6

License : Permissive (MIT)

Copy

python word2vec-api --model path/to/the/model [--host host --port 1234]

curl http://127.0.0.1:5000/word2vec/n_similarity?ws1=Sushi&ws1=Shop&ws2=Japanese&ws2=Restaurant
curl http://127.0.0.1:5000/word2vec/similarity?w1=Sushi&w2=Japane

fastnode2vec,Load embeddings produced by the CLI

Python

Lines of Code : 3

License : Permissive (MIT)

Copy

from gensim.models import KeyedVectors

wv = KeyedVectors.load("p2p-Gnutella08.txt.gz.wv", mmap='r')

Community Discussions

Trending Discussions on word2vec-api

Word Embedding: Dimensions of word-id list

How do I get a single vector for a single word using Word2Vec?

QUESTION

Word Embedding: Dimensions of word-id list

Asked 2017-Apr-20 at 15:11

I would like to perform word embedding with pretrained glove embeddings which I have downloaded here.

I am using a 6 word sentence as a test, and set a max doc length of 30. I am using the learn.preprocessing.VocabularyProcessor() object to learn the token-id dictionary. I am using the transform() method of this object to transform the input sentence to a list of word ids, so that I can look them up in the embedding matrix.

Why does the VocabularyProcessor.transform() method return a 6 x 30 array? I would expect it to simply return a list of the ids, for each of the words in the test sentence.

...

ANSWER

Answered 2017-Apr-20 at 15:11

From the comments in the code in https://github.com/petewarden/tensorflow_makefile/blob/master/tensorflow/contrib/learn/python/learn/preprocessing/text.py in the transform() function:

Source https://stackoverflow.com/questions/43519996

QUESTION

How do I get a single vector for a single word using Word2Vec?

Asked 2017-Mar-29 at 22:44

I'm trying to solve a Deep Learning text classification problem, so I have to vectorize the text input with Word2Vec to feed it into a neural network.

So I downloaded a Google pre trained Word2Vec model: https://github.com/3Top/word2vec-api

And load it using gensim:

...

ANSWER

Answered 2017-Mar-29 at 22:44

When I try to print a specific word:

print(model['cat'])
# => expected output: 0.47385435 (or something)
# => actual output: array with hundreds of floats between -1 and 1
Why don't I just get one vector for one word? Isn't that the point?

Source https://stackoverflow.com/questions/42879491

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

Vulnerabilities

No vulnerabilities reported

Install word2vec-api

You can download it from GitHub.
You can use word2vec-api like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

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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