Sentiment analysis is a popular analytics use case for text. Learn about the key concepts of sentiment analysis.
- [Instructor] One of the most popular analysis done … on text is to identify the sentiment expressed … by its author. … Sentiment, in this case, is the overall emotion expressed … in the words people write. … This might be simply positive or negative … but can be other emotions as well. … Organizations try to understand the sentiment … of their customers and users based … on their communications and social media posts. … This is referred to as sentiment analysis. … Sentiment analysis is text mining technique used … to identify the intent or opinion in text data. … Users communicate their opinions … and needs through text in the form of reviews, … emails, chats, et cetera. … Sentiment analysis looks at a corpus of text, … possibly multiple sentences … to understand the overall sentiment of the author. … There are multiple techniques used for this. … The most popular being the bag of words approach. … In this technique, … we look for specific words in the text … and conclude on the overall sentiment …
Author
Released
10/1/2019- Creating a word cloud
- Analyzing sentiment
- Extracting emotions from text
- Clustering similar entities based on text
- Using classification for supervised learning
- Recommending items to users based on text data analytics
Skill Level Intermediate
Duration
Views
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Introduction
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1. Word Cloud
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Word cloud concepts1m 1s
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Displaying the word cloud1m 29s
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Enhancing the word cloud1m 25s
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2. Sentiment Analysis
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Sentiment analysis concepts1m 57s
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Finding sentiment2m 35s
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Summarizing sentiment1m 54s
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Analyzing emotions1m 56s
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3. Clustering
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Clustering concepts1m 46s
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Clustering hashtags1m 29s
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Finding optimal cluster size1m 26s
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4. Classification
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Classification concepts1m 37s
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Preparing data3m 13s
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Building a model2m 7s
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Running predictions1m 19s
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5. Predictive Text
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Predictive text concepts1m 16s
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Preparing data2m 11s
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Predicting text1m 57s
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Conclusion
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Next steps49s
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Video: Sentiment analysis concepts