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Natural Language Processing and Text Mining Without Coding
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Name:Natural Language Processing and Text Mining Without Coding
Infohash: 7B18EFBB02880E27ABA27F658AD671590103E240
Total Size: 502.01 MB
Magnet: Magnet Download
Seeds: 0
Leechers: 1
Stream: Watch Full Movies @ LimeMovies
Last Updated: 2025-10-26 02:51:33 (Update Now)
Torrent added: 2020-05-11 07:00:25
Torrent Files List
Natural Language Processing and Text Mining Without Coding (Size: 502.01 MB) (Files: 139)
Natural Language Processing and Text Mining Without Coding
5. Analyze The Sentiment Of Stocks In Your Watchlist
8. Clean and Prepare Text in Tweets.mp4
1. What Will You Learn From This Exercise.mp4
1. What Will You Learn From This Exercise.srt
2. Connecting To The Twitter API.mp4
2. Connecting To The Twitter API.srt
3. Install Extension For Text Mining and Create API Account.mp4
3. Install Extension For Text Mining and Create API Account.srt
4. Downloading The Data.html
4.1 MyStockWatchlist.csv.csv
5. About The Data.mp4
5. About The Data.srt
6. Import The Historical Data.mp4
6. Import The Historical Data.srt
7. Search For Tweets About Company In Your Watchlist.mp4
7. Search For Tweets About Company In Your Watchlist.srt
8. Clean and Prepare Text in Tweets.srt
9. Find Sentiment Of The Tweets.mp4
9. Find Sentiment Of The Tweets.srt
10. Gather Required Data To Calculate Sentiment Score.mp4
10. Gather Required Data To Calculate Sentiment Score.srt
11. Generate a Sentiment Score For The Stock.mp4
11. Generate a Sentiment Score For The Stock.srt
12. Conclusion - Analyze The Sentiment Of Stocks In Your Watchlist.mp4
12. Conclusion - Analyze The Sentiment Of Stocks In Your Watchlist.srt
ReadMe.txt
Visit Coursedrive.org.url
1. Introduction
1. What is Natural Language Processing ( NLP ).mp4
1. What is Natural Language Processing ( NLP ).srt
2. How To Make The Most Of This Course.mp4
2. How To Make The Most Of This Course.srt
3. Sneak Peek Of What We Will Do In This Course.mp4
3. Sneak Peek Of What We Will Do In This Course.srt
2. Rapidminer
1. Why Use Rapidminer.mp4
1. Why Use Rapidminer.srt
2. Difference Between Rapidminer and Python.mp4
2. Difference Between Rapidminer and Python.srt
3. Installing Rapidminer.mp4
3. Installing Rapidminer.srt
4. Rapidminer Development Environment - Introduction.mp4
4. Rapidminer Development Environment - Introduction.srt
5. Rapidminer - Operators, Extensions, Repository, Parameters, Help.mp4
5. Rapidminer - Operators, Extensions, Repository, Parameters, Help.srt
6. Install The Text Mining Extension.mp4
6. Install The Text Mining Extension.srt
7. Download The Data.html
7.1 Basic Process.txt.txt
8. Let's Build A Basic Process.mp4
8. Let's Build A Basic Process.srt
3. Text Classification - Detecting Spam From Text Messages
1. What Will You Learn From This Exercise.mp4
1. What Will You Learn From This Exercise.srt
2. Downloading The Data.html
2.1 SMSSpamCollection.txt.txt
3. Importing Data.mp4
3. Importing Data.srt
4. Change Data Attribute Role And Type.mp4
4. Change Data Attribute Role And Type.srt
5. Creating Word List And Word Vector.mp4
5. Creating Word List And Word Vector.srt
6. Balance Your Dataset.mp4
6. Balance Your Dataset.srt
7. Building The First Spam Detector.mp4
7. Building The First Spam Detector.srt
8. Validate Our Spam Detector.mp4
8. Validate Our Spam Detector.srt
9. Measure The Performance Of The Spam Detector.mp4
9. Measure The Performance Of The Spam Detector.srt
10. Optimize Performance of Your Spam Detector.mp4
10. Optimize Performance of Your Spam Detector.srt
11. Conclusion - Spam Detection.mp4
11. Conclusion - Spam Detection.srt
12. Additional Reading.html
4. Quiz
1. Let's test your knowledge.html
6. Bonus - Scraping Web pages For Text Data
1. Install Web Mining Extension.mp4
1. Install Web Mining Extension.srt
2. Extracting Text From a Webpage or RSS Feed.mp4
2. Extracting Text From a Webpage or RSS Feed.srt
7. Quiz
1. Let's test your knowledge.html
8. Building a Scorecard For Customer Retention Agents
1. What Will You Learn From This Exercise.mp4
1. What Will You Learn From This Exercise.srt
2. Downloading The Data.html
2.1 CallCenterText.csv.csv
3. What Is This Data.mp4
3. What Is This Data.srt
4. Importing The Data.mp4
4. Importing The Data.srt
5. Prepare Text - Change Type.mp4
5. Prepare Text - Change Type.srt
6. Cleaning Special Characters From Text.mp4
6. Cleaning Special Characters From Text.srt
7. Count Number of Words in Each Conversation.mp4
7. Count Number of Words in Each Conversation.srt
8. Removing Scripted Conversations.mp4
8. Removing Scripted Conversations.srt
9. Remove Disconnected Calls.mp4
9. Remove Disconnected Calls.srt
10. Extract Entities from Call Logs.mp4
10. Extract Entities from Call Logs.srt
11. Find Sentiment Of Call Logs.mp4
11. Find Sentiment Of Call Logs.srt
12. Save Your Process.mp4
12. Save Your Process.srt
13. Exploring Our Text Data - Theory.mp4
13. Exploring Our Text Data - Theory.srt
14. Exploring Our Text Data - Hands On.mp4
14. Exploring Our Text Data - Hands On.srt
15. Create Metrics - Agent List & Sentiment Score.mp4
15. Create Metrics - Agent List & Sentiment Score.srt
16. Create Metrics - Average Word Count by Agent.mp4
16. Create Metrics - Average Word Count by Agent.srt
17. Create Metrics - Average Time On Call by Agent.mp4
17. Create Metrics - Average Time On Call by Agent.srt
18. Create Metrics - Customers Retained Count by Agent.mp4
18. Create Metrics - Customers Retained Count by Agent.srt
19. Create Metrics - Customer Greeted By Title Count by Agent.mp4
19. Create Metrics - Customer Greeted By Title Count by Agent.srt
20. Create Metrics - Calculate Total Calls by Agent.mp4
20. Create Metrics - Calculate Total Calls by Agent.srt
21. Replace Missing Values.mp4
21. Replace Missing Values.srt
22. Creating The Scores.mp4
22. Creating The Scores.srt
22.1 Formulae for Scores.txt.txt
23. Score Carding Retention Agents.mp4
23. Score Carding Retention Agents.srt
24. Presenting Our Results.mp4
24. Presenting Our Results.srt
25. Identifying Competitors From Identified Entities.mp4
25. Identifying Competitors From Identified Entities.srt
26. Conclusion - Scorecard For Customer Retention Specialist.mp4
26. Conclusion - Scorecard For Customer Retention Specialist.srt
9. Bonus - Solution Files
1. Downloading The Solution Files.html
1.1 SolutionFiles.zip.zip
2. How To Use The Solution Files.mp4
2. How To Use The Solution Files.srt
10. Bonus - Research Papers and Additional Reading
1. Research Papers and Additional Reading.html
11. Thank You
1. Thank You!.mp4
1. Thank You!.srt
Visit Coursedrive.org.url
ReadMe.txt
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