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Sentiment analysis
Dans le cours : Big Data in the Age of AI
Sentiment analysis
- [Instructor] The best thing anybody's ever said about the videos I make is that they were better than bacon. Now I took that as a huge compliment, and if you're in business or interacting with people in some way, then you know it's usually a good idea to know how things are going over with people. Elsewhere, I've talked about text analytics, and you can think of sentiment analysis as a special kind of text analytics. You have three major goals. First, what are people saying about you? Second, and this is the sentiment part, how do they feel about what you do? And then that leads to a natural third one within your organizational setting is what can you do about it? Taking that feedback, the content, the affective valence of the content, and then what can you do about it? Now the easiest way to do sentiment analysis is to use a package for a language like Python or R that has a well-tested dictionary of affective or emotional terms. And so you feed the content into it and it will…
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Table des matières
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(Verrouillé)
Challenges with data preparation5 m 6 s
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(Verrouillé)
Visualizing big data5 m 13 s
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(Verrouillé)
Data mining4 m 40 s
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(Verrouillé)
Text analytics4 m 17 s
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(Verrouillé)
Sentiment analysis4 m 48 s
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(Verrouillé)
Predictive analytics4 m 7 s
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(Verrouillé)
Anomaly detection4 m 1 s
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(Verrouillé)
Using big data to make small data4 m 41 s
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(Verrouillé)
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