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Presidential Debate Twitter Sentiment Analysis using Python and NLTK

Imagine you’ve got customer review. Working out whether it’s a good or bad review is pretty easy right? You, read it, then you get a ‘feel’ for whether it’s good or bad. Well, now imagine you have 500 review, or 5,000 or even 5 million. Getting through all of these and working out which of them is REALLY bad or REALLY good is a whole lotta work. This is where sentiment analysis comes in. It allows you to leverage natural language processing to help speed up this process and work out whether something is good or bad. And because you’re able to do it using code…you can do it FAST. In this video you’ll get to do just that. You’ll learn how to apply sentiment analysis to the #PresidentialDebate Twitter feed in order to calculate overall sentiment (positive or negative) for each presidential candidate. In this video you’ll learn how to: 1. Setting up Twitter Dev 2. Querying #PresidentialDebate tweets from Twitter using Python 3. Using NLTK and TextBlob to calculate sentiment When using TextBlob for sentiment analysis, you’re able to extract polarity and subjectivity. Polarity refers to how positive or negative something is with the range extending from -1 (negative) to 1 (positive). Subjectivity refers to how much a piece of text is based on emotion with 0 being the least subjective and 1 being the most subjective. Sentiment Analysis can also (and is typically) used for: Market research Customer feedback Financial markets analysis Note: All content, ideas and opinions are my own! GitHub: https://github.com/nicknochnack/Twitt... Resources Listed: Twitter Developer:   / apps   Twepy: https://www.tweepy.org/ NLTK: https://www.nltk.org/ Pandas: https://pandas.pydata.org/pandas-docs... Oh, and don't forget to connect with me! LinkedIn:   / nicholasr.  . Facebook:   / nickrenotte   GitHub: https://github.com/nicknochnack Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand! Technology vector created by freepik - www.freepik.com