twembeddings | Sentence embeddings for unsupervised event detection

by ina-foss Python Version: 0.2.0 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | twembeddings Summary

twembeddings is a Python library typically used in Tensorflow applications. twembeddings has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install twembeddings' or download it from GitHub, PyPI.

Sentence embeddings for unsupervised event detection in the Twitter stream: study on English and French corpora

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Quality

Security

License

Reuse

Support

twembeddings has a low active ecosystem.

It has 25 star(s) with 3 fork(s). There are 7 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 2 open issues and 0 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 twembeddings is 0.2.0

Quality

twembeddings has no bugs reported.

Security

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

License

twembeddings is licensed under the MIT License. This license is Permissive.

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

Reuse

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

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.

Top functions reviewed by kandi - BETA

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

Build the embedding matrix
Load a matrix
Load missing values from a dataset
Load a csv dataset
Test the model parameters
Add one or more vectors
Perform incremental clustering
Build the matrix
Saves sentences in JLH format
Format the created date as a string
Removes repeted characters from the expression
Format text according to format
Rehydrate twitter tweets
Formats a single tweet

Get all kandi verified functions for this library.

twembeddings Key Features

No Key Features are available at this moment for twembeddings.

twembeddings Examples and Code Snippets

Sentence embeddings for unsupervised event detection in the Twitter stream: study on English and French corpora,Download Event2018 dataset

Python

Lines of Code : 7

License : Permissive (MIT)

Copy

python get_tweets_objects.py \
--path /yourpath/relevant_tweets.tsv \
--dataset event2018 \
--app_key mIsU1P0NNjUTf9DjuN6pdqyOF \
--app_secret KAd5dpgRlu0X3yizTfXTD3lZOAkF7x0QAEhAMHpVCufGW4y0t0 \
--oauth_token 4087833385208874171-k6UR7OGNFdfBcqPye8ps

Download tweets' content

Python

Lines of Code : 7

License : Permissive (MIT)

Copy

python get_tweets_objects.py \
--path /yourpath/relevant_tweets.tsv \
--dataset event2012 \
--app_key mIsU1P0NNjUTf9DjuN6pdqyOF \
--app_secret KAd5dpgRlu0X3yizTfXTD3lZOAkF7x0QAEhAMHpVCufGW4y0t0 \
--oauth_token 4087833385208874171-k6UR7OGNFdfBcqPye8ps

Sentence embeddings for unsupervised event detection in the Twitter stream: study on English and French corpora,Installation

Python

Lines of Code : 6

License : Permissive (MIT)

Copy

conda create -n "twembeddings" python=3.6.9
source activate twembeddings

cd $HOME
git clone https://github.com/bmaz/twembeddings.git
cd twembeddings
pip install .

Community Discussions

No Community Discussions are available at this moment for twembeddings.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install twembeddings

We recommand using Anaconda 3 to create a python 3.6 environment (install Anaconda here):.
In compliance with Twitter terms of use, the authors of the dataset do not share the tweets content, but only the tweets IDs. Accept the dataset agreement and download the dataset. Untar the folder, the labeled tweets are in the relevant_tweets.tsv file.
The script may take some time to run entirely, since it respects the API's rate limit. Because of tweets beeing removed and Twitter accounts being closed, some tweets are no longer available. Our last download (November 2019) allowed us to retrieve 72484 tweets (72% of the original dataset).
In compliance with Twitter terms of use, we do not share the tweets content, but only the tweets IDs. The corpus is available here. Please fill-in the agreement form and indicate the name of the corpus (Event2018) in your application. Untar the folder, the labeled tweets are in the relevant_tweets.tsv file.

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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