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Sentiment Analysis

Published on the October 01, 2022 in IT & Programming

About this project

Open

For this analytic task, you will be provided a dataset containing tweets on this topic. The
dataset is a combination of a Kaggle public dataset together with an additional dataset
scraped using the Twitter API. Only a few columns have been kept and some double
checks have been performed to help focus your analysis on the variables that are most
likely to lead you to meaningful conclusions.

Project overview

Segundo inciso en la parte "Data Analysis" donde hay que hacer un analisis de sentimiento en ingles y contestar las 4 preguntas:  Pro-Nike vs Anti-Nike: which is the majority position? How can posts be divided based on their position in relation to the topic? Is there a way to assign a value to those posts?  Arguments cited in posts: which are the most frequently cited ones? Are there any conversational patterns that depend on the position of the user that is posting?  Accounts cited in posts: which are the main entities (user accounts/business accounts) involved in the dispute?  Can the benefit or damage to the Nike brand as a result of the campaign be assessed? External research might be needed in this case.

Category IT & Programming
Subcategory Web development
What is the scope of the project? Medium-sized change
Is this a project or a position? Project
I currently have Not applicable
Required availability As needed
Roles needed Developer

Delivery term: October 06, 2022

Skills needed

JavaScript MySQL PHP Python

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