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Ml entity and sentiment analysis
- 1. Mohammed Adnan AI studentat IAU Entity and Sentiment Analysis Start at 08:05 pm
- 4. What is SentimentAnalysis? What is Entity Analysis? 0 1 02 Entity and Sentiment
- 5. Entity and SentimentAnalysis
- 6. Entity and SentimentAnalysis Entity Analysis Entity Analysis inspects the given text for known entities (proper nouns such as public figures, landmarks, etc.), and returns information about those entities. sentiment analysis and attempts to determine the sentiment (positive or negative) expressed about entities Sentiment Analysis
- 7. Example of Entity andsentiment Analysis
- 8. Example of Entityand Sentiment Analysis “I don’t find the app useful: it’s really slow and crashing”. Entity Sentiment 1- App 1- I don’t find the app useful 2- it’s really slow and crashing Negative
- 9. Example of Entityand Sentiment Analysis “I really like the new design of your website!”. Entity Sentiment 1- design 2- website 1- I really like the new design of your website Positive
- 10. Example of Entityand Sentiment Analysis “I’m not sure if I like the new design”. Entity Sentiment 1- design 1- I’m not sure if I like the new design Natural
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- 12. Application of Entity andsentiment Analysis
- 13. Application of Entityand Sentiment Analysis Twitter amazon Facebook
- 14. Importance of Entity andSentiment analysis
- 15. Importance of Entityand Sentiment Analysis Social Media. 02 Market Research. 01 Brand Monitoring. 03
- 16. Market Research If youare planning to release a new product, and you want to collect insights on people’s attitudes, experiences, and needs related to the field of your product, you could use sentiment analysis to track different sources of online conversations about a given topic. The same thing applies for following new trends.
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- 18. Social Media Imagine youjust launched a new product feature and notice a sharp increase in mentions on Twitter. Are customers tweeting more because they are delighted with the new feature? Or, are they actually complaining about the feature? Performing sentiment analysis on Twitter data can help you quickly understand the tone of those mentions. Sentiment analysis is particularly useful for social media monitoring because it goes beyond the number of likes or retweets, by providing qualitative insights.
- 19. Brand Monitoring Besides socialmedia, online conversations can take place in blogs, review websites, news websites and forum discussions. Product reviews, for instance, have become a crucial step in the buyer decision process. Consumers read at least ten reviews before buying, and 57% will only trust a business if it’s rated with 4 or more stars.
- 20. Google Cloud Platform Suit ofcomputing services provided by google.
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- 23. Register in QuickLab 01 Start AI Platform Lab 02 Follow the instructions 03 YOUR MODEL IS READY 04 How?
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- 26. Mohammed Adnan Speakers DSC @DSC_IAU @753mohamed#machine_learning_IAU