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Twitter-Location-based-Trend-summarizer
Twitter-Location-based-Trend-summarizer Public templateThis project is to identify top trends in twitter and generates the summary of those trending hashtags in about 50 to 160 words using Text-to-Text transformer model.
Jupyter Notebook 1
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Video-Abstractive-Summarizer-using-Speech-to-Text-Transformer-Model
Video-Abstractive-Summarizer-using-Speech-to-Text-Transformer-Model PublicThe amount of digital consumption in teh form of Audio and Video has become so prominant than ever before. Due to which we have so much of content that is available for our limited amount of time. …
Jupyter Notebook
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Text-Mining-Election-Manifesto
Text-Mining-Election-Manifesto PublicThe purpose of this analysis is to exhibit to readers how scientific techniques can be used to analyse & interpret textual information. The author does not claim expertise in political analysis. Pl…
Jupyter Notebook
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Network-Analysis-Key-Players-Community---Detection---Dolphins
Network-Analysis-Key-Players-Community---Detection---Dolphins PublicNetwork analysis on Dolphin Data - Igraph package
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Data-Mining---Sales-Forecasting
Data-Mining---Sales-Forecasting PublicThe software which is used for analysis purpose is R (3.4.1). We chose R as it can be easily programmable and the availability of various packages from global community will yield us good predictio…
R 1
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