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ML for SS: Basic NLP and Sentiment Dr. Richard M. Crowley rcrowley@smu.edu.sghttps://rmc.link/OverviewPapers Paper 1: Loughran and McDonald (2011 JF) One of the most influential papers on sentiment
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Identify the target audience or the group of people you want to analyze sentiment for.
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Collect relevant data such as social media posts, customer reviews, or survey responses.
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Use natural language processing tools to analyze the text for sentiment indicators like positive or negative words, emojis, or sentiment scores.
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Consider the context of the text, including the tone, language used, and any specific references that could affect sentiment.
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Summarize the overall sentiment of the text based on the analyzed data and visuals like word clouds or sentiment charts.

Who needs understanding sentiment through context?

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Marketers looking to gauge customer satisfaction and sentiment around their products or services.
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Brands interested in understanding public perception through social media and online reviews.
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Researchers studying sentiment analysis for academic or market research purposes.
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Understanding sentiment through context involves analyzing text to determine the overall emotion or opinion expressed.
Companies or individuals who want to gain insights from text data may use sentiment analysis.
You can fill out understanding sentiment through context by using tools or software that analyze text data for sentiment.
The purpose of understanding sentiment through context is to gain insights into public opinion, customer feedback, or employee sentiment.
The report on understanding sentiment through context may include the overall sentiment, key topics, and trends identified in the text data.
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