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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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KayvT/Tweets-Languages-Analysis

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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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