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In this notebook, using tweets collected randomly from some contries(Egypt , France , and Turkey ), and Facebook's model fastText for language identification, we interpret and analyze the data in various ways.

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Languages-Analysis-with-Tweets

In this notebook, using tweets collected randomly from some contries(Egypt , France , and Turkey ), and Facebook's model fastText for language identification, we interpret and analyze the data in various ways

How to use it

Clone the repo and view the notebook on your machine. I do not recommend displaying the notebook on Github.
Install the required libraries.
Download the fasttext's model(lid.176.bin) from here, since we load it in the notebook. And we did not push it because of its size.

Authors:

Asim Okby
Khaled Yassen
Nurhande Aykuz
Diala Jubeh

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In this notebook, using tweets collected randomly from some contries(Egypt , France , and Turkey ), and Facebook's model fastText for language identification, we interpret and analyze the data in various ways.

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