Txt2Vec | represent text by vector | Natural Language Processing library

by zhongkaifu C# Version: V1.1.0.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Txt2Vec Summary

Txt2Vec is a C# library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Tensorflow applications. Txt2Vec has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Txt2Vec is a toolkit to represent text by vector. It's based on Google's word2vec project, but with some new features, such incremental training, model vector quantization and so on. For a specified term, phrase or sentence, Txt2vec is able to generate correpsonding vector according its semantics in text. And each dimension of the vector represents a feature. Txt2Vec is based on neural network for model encoding and cosine distance for terms similarity. Furthermore, Txt2Vec has fixed some issues of word2vec when encoding model in multiple-threading environment. The following is the introduction about how to use console tool to train and use model. For API parts, I will update it later.

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Txt2Vec has a low active ecosystem.

It has 66 star(s) with 30 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Txt2Vec is V1.1.0.0

Quality

Txt2Vec has no bugs reported.

Security

Txt2Vec has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Txt2Vec is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Txt2Vec releases are available to install and integrate.

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

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Txt2Vec Key Features

No Key Features are available at this moment for Txt2Vec.

Txt2Vec Examples and Code Snippets

No Code Snippets are available at this moment for Txt2Vec.

Community Discussions

Trending Discussions on Txt2Vec

atof() returning float instead of double

QUESTION

atof() returning float instead of double

Asked 2017-Aug-24 at 15:17

I have text files containing numbers with precision upto 12 decimal places.

So to load the number into a c++ vec I wrote this

...

ANSWER

Answered 2017-Aug-24 at 15:17

You are likely getting the expected values, but you are not printing the full precision in your shown code.

The << operator for output streams and doubles has a default precision of 6 for general use and readability. See std::ios_base::precision.

The default precision, as established by std::basic_ios::init, is 6.

If you want to display the full number you need to set the precision with the number of digits a double may contain, e.g. use numeric_limits.

Source https://stackoverflow.com/questions/45865109

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

Vulnerabilities

No vulnerabilities reported

Install Txt2Vec

model vector quantization is another way to reduce model size by converting weights from float type to byte type. Currently, Txt2VecConsole supports model vector quantization in 8bits. That means the model size will be reduced to 1/4 original model size. The command line as follows:. Txt2VecConsole.exe -mode buildvq <...> Parameters to build vector quantization model -modelfile : encoded model file for vector quantization -vqmodelfile : output vector quantized model.

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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