text mining from Twitter discussion

₹100-400 INR / hour

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há aproximadamente 3 anos

₹100-400 INR / hour

From the given csv file, extract all the events from the twitter discussion regarding covid 19 and plot those events on a graph indicating the number of those events. (not keywords: But whole events) Description: The given data is containing tweets from February 2020 to October 2020. Extract all the important events (For example: twitter discussion about international travel restriction is considered as single event during this period of time. ) and plot it on a linear graph using matplotlib with the frequency of those events(that how many times those events has been discussed on twitter from February 2020 to October 2020)(For example: event “International travel restriction” was discussed 25000 times, it should show the frequency of that event on a dynamic graph ). You can use jupyter notebook or google colab. (as a first step, data cleaning has been already done.)

Data Visualization

Data Science

ID do Projeto: 29286080

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Ativo há 3 anos

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@albertnbr

Hello There, I have interest in data science study field, I have already worked in some projects using google colab and jupyter notebook related to machine learning, Just let me know exactly what do you need and I surely can do it for you, Best Regards, Alberto

₹1.000 INR em 8 dias

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2 freelancers estão ofertando em média ₹700 INR/hora for esse trabalho

@mahdejas

hello, I can get the job done with the highest results, because I'm a master's degree data science expert, machine learning and deep learning engineer, and I have a lot of similar work. You can discuss details via chat

₹400 INR em 40 dias