Analysing the impact of the pandemic on Air Quality in 3 African countries: Kenya, Nigeria and South Africa using data from Twitter.
Tasks:
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Scraping: Scraping data related to air quality on the 3 countries from twitter.
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Time series analysis: Checking for trends and seasonality in the tweets volume, tweeps volume, tweets content et.c.
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Topic Modeling: Using Latent Dirichlet Allocation for Topic Modeling.
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Sentiment Analysis: Using Hugging Face Zero Shot
modeling kernelscontains the following notebook:
- EDA_modelling.ipynb - The master notebook that contains all sorts of analysis done right from data preperocessing, EDA, time series analysis, LDA ... NB viewer- its a big notebook
scraping kernels contains the following notebook:
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crawler_tweets.ipynb - Kernel responsible for tweets scraping.
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scrap_tweeps.ipynb - Kernel responsible for tweeps scraping. (Using geeotags and hashtag filters.)
licence License template
readme Markdown file giving a brief description of the project and its structure.
Covid Impact On Air Quality Rough Document.pdf First report. May have some corrections to be made. Link to Markdown version
report Contains the markdown format and the assets of the Document