lstm-sentiment-analysis | sentiment analysis | Natural Language Processing library

by elliottssu Python Version: Current License: No License

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

kandi X-RAY | lstm-sentiment-analysis Summary

lstm-sentiment-analysis is a Python library typically used in Artificial Intelligence, Natural Language Processing, Neural Network applications. lstm-sentiment-analysis has no bugs, it has no vulnerabilities and it has low support. However lstm-sentiment-analysis build file is not available. You can download it from GitHub.

sentiment analysis with chinese and english(LSTM). Realize the sentiment analysis of Chinese and English sentences through LSTM to judge whether it is negative or positive.

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lstm-sentiment-analysis has a low active ecosystem.

It has 43 star(s) with 9 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

lstm-sentiment-analysis has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lstm-sentiment-analysis is current.

Quality

lstm-sentiment-analysis has no bugs reported.

Security

lstm-sentiment-analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

lstm-sentiment-analysis 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.

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lstm-sentiment-analysis releases are not available. You will need to build from source code and install.

lstm-sentiment-analysis has no build file. You will be need to create the build yourself to build the component from source.

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

Top functions reviewed by kandi - BETA

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

Train the model
Extracts the train and test data from binary data
Predict class from a given string
Convert a string to a list of numbers

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lstm-sentiment-analysis Key Features

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lstm-sentiment-analysis Examples and Code Snippets

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Community Discussions

Trending Discussions on lstm-sentiment-analysis

includes invalid characters for a local volume name,. If you intended to pass a host directory, use absolute path

Tensorflow _lstm_ops.dll not found

QUESTION

includes invalid characters for a local volume name,. If you intended to pass a host directory, use absolute path

Asked 2019-Jan-31 at 10:38

I ran docker run -v and it shows error as invalid charecters in local volume name."If you intended to pass a host directory, use absolute path" also is printed in the terminal.

tried replacing -v with --mount but gives error on parameters

...

ANSWER

Answered 2019-Jan-31 at 10:38

The error message is pretty clear :

If you intended to pass a host directory, use absolute path.

You should use absolute path for host directories, otherwise docker consider them as volumes. Here, home/sreedath/Mytest/LSTM-Sentiment-Analysis is considered as a volume, and it contains invalid characters, that's why you get the error.

To mount a host directory (assuming /home/sreedath/Mytest/LSTM-Sentiment-Analysis exists on your host), you should use :

Source https://stackoverflow.com/questions/54457535

QUESTION

Tensorflow _lstm_ops.dll not found

Asked 2017-Dec-05 at 21:46

I am trying to build an LSTM model that I downloaded from Github, using Tensorflow and Python 3.6. The link for the model is https://github.com/adeshpande3/LSTM-Sentiment-Analysis.
When the following command is executed
lstmCell = tf.contrib.rnn.BasicLSTMCell(lstmUnits)
I am receiving the error
NotFoundError: D:\Anaconda3\lib\site-packages\tensorflow\contrib\rnn\python\ops_lstm_ops.dll not found
As you may have notices, the path has no non-ASCII codes!!
Any suggestion?

...

ANSWER

Answered 2017-Dec-05 at 21:46

According to the project's Github page, the code runs on TensorFlow 1.1, and won't work with TensorFlow 1.2 or higher. If you're using a current version of TensorFlow, that's your problem.

Source https://stackoverflow.com/questions/47662341

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

Vulnerabilities

No vulnerabilities reported

Install lstm-sentiment-analysis

You can download it from GitHub.
You can use lstm-sentiment-analysis 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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