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Develop a tweet-bot for client

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Reference no: EM132942236

Q 1: Using examples from the articles below, discuss how sentiment analysis can give your candidate's election campaign a competitive edge.

Discuss how sentiment analysis can be used to support your candidate's campaign and undermine your opponent's campaign.

Q2: Using examples from the articles below, discuss how data and insights mining can give your candidate's election campaign a competitive edge.

Discuss how data and insights mining can help to identify trends and characteristics that may escape the attention and awareness of human analysts.

Q3: Your firm has been engaged to develop a tweet-bot for your client - either Hillary or Trump. The tweet bot will data mine tweets associated with your candidate, their opponent and everyone else who engages with these people in the form of likes, mentions, retweets and replies.

The tweet bot will then use natural language processing and latent semantic analysis to learn the way your candidate 'speaks'. Once trained, the tweet bot will tweet on your client's behalf so that it sounds like the tweet came from the candidate.

Discuss the ethical considerations involved in the development of this bot. Your response need to address the Laws of Robotics

Articles:

-https://www.socialmediatoday.com/technology-data/using-social-media-data-predict-2016-us-presidential-election

-https://www.kusi.com/trump-biden-fight-for-primacy-on-social-media-platforms/

Reference no: EM132942236

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