Word2VecExample | example application using Word2Vec | Natural Language Processing library

by dhammack Python Version: Current License: No License

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

kandi X-RAY | Word2VecExample Summary

Word2VecExample is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning applications. Word2VecExample has no bugs, it has no vulnerabilities and it has low support. However Word2VecExample build file is not available. You can download it from GitHub.

Example of using word2vec.

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Word2VecExample has a low active ecosystem.

It has 283 star(s) with 87 fork(s). There are 40 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Word2VecExample is current.

Quality

Word2VecExample has no bugs reported.

Security

Word2VecExample has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Word2VecExample 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

Word2VecExample releases are not available. You will need to build from source code and install.

Word2VecExample has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Word2VecExample and discovered the below as its top functions. This is intended to give you an instant insight into Word2VecExample implemented functionality, and help decide if they suit your requirements.

Main function .
Load word2vec features .
Performs k - means clustering .
Find the furthest word in words .
Get all the words in the cluster with the given label .

Get all kandi verified functions for this library.

Word2VecExample Key Features

No Key Features are available at this moment for Word2VecExample.

Word2VecExample Examples and Code Snippets

No Code Snippets are available at this moment for Word2VecExample.

Community Discussions

Trending Discussions on Word2VecExample

Why java.lang.IllegalStateException occurs when running Word2VecExample form Scala Spark mllib?

Loadiing a trained Word2Vec model in Spark

QUESTION

Why java.lang.IllegalStateException occurs when running Word2VecExample form Scala Spark mllib?

Asked 2019-Jun-01 at 12:43

I am trying to read a text file in Spark-mllib examples (Word2VecExample) and create it word vectors. I run it by some text files and it gives no error but when reading one of my files, it gives this error and I am really confuse with that because I tried everything such as file format(utf-8) and ASCII characters. this is my source code:

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ANSWER

Answered 2019-Jun-01 at 11:58

Hello don't know much about Spark. Also can't post comments yet so an answer will have to do. Looking at the documention here.

.findSynonyms("string",num) "Find "num" number of words closest in similarity to the given word, not including the word itself."

So i can't help wondering is looking for the string "1" not maybe the problem. Off the top of my head i struggle to find 5 synonyms for "1", perhaps "one",maybe "uniary" or potentially "individual". From what I read Spark is a machine learning library so have you tried dumbing down the question? Maybe ask for a single synonym or give a simpler string to search for like "happy". This is just my two cents though, and mostly just curious about what is actually happening.

Source https://stackoverflow.com/questions/56362831

QUESTION

Loadiing a trained Word2Vec model in Spark

Asked 2017-Aug-03 at 19:33

I am trying to load google's Pre-trained vectors 'GoogleNews-vectors-negative300.bin.gz' Google-word2vec into spark.

I converted the bin file to txt and created a smaller chunk for testing that I called 'vectors.txt'. I tried loading it as the following:

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ANSWER

Answered 2017-Aug-03 at 19:33

How exactly did you get vector.txt? If you read JavaDoc for Word2VecModel.save you may see that:

This saves: - human-readable (JSON) model metadata to path/metadata/ - Parquet formatted data to path/data/
The model may be loaded using Loader.load.

So what you need is model in Parquet format which is standard for Spark ML models.

Unfortunately load from Google's native format has not been implemented yet (see SPARK-9484).

Source https://stackoverflow.com/questions/45492239

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

Vulnerabilities

No vulnerabilities reported

Install Word2VecExample

You can download it from GitHub.
You can use Word2VecExample 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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