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Text Analysis and Natural Language Processing With Python
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Text Analysis and Natural Language Processing With Python
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文件列表
02 Basic Data Preprocessing/003 Basics of Data Visualization.mp4
98.7 MB
05 Other Ways of Obtaining Textual Data/004 Obtaining Textual Data From Reddit.mp4
84.8 MB
02 Basic Data Preprocessing/001 What Is Pandas_.mp4
73.0 MB
09 Machine Learning and Deep learning For Text Data/001 What Is Machine Learning_.mp4
73.0 MB
10 Miscellaneous Information/001 Lets Do Dictionaries.mp4
71.0 MB
09 Machine Learning and Deep learning For Text Data/010 Keras Installation-Mac.mp4
69.0 MB
09 Machine Learning and Deep learning For Text Data/009 Keras Installation-Windows.mp4
62.7 MB
06 Basic Textual Data Preprocessing/001 Introduction to Theory.mp4
61.1 MB
07 Exploring Text Data/012 Topic Modelling With Gensim.mp4
59.9 MB
07 Exploring Text Data/006 What Are Wordclouds_.mp4
55.6 MB
04 Extracting Tweets (Without An API)/010 Tweets From Multiple Locations and Multiple Terms.mp4
52.4 MB
09 Machine Learning and Deep learning For Text Data/004 Predicting Stock Price Movements Based On Newspaper Headlines.mp4
51.4 MB
09 Machine Learning and Deep learning For Text Data/011 Long short-term memory (LSTM)_ Theory.mp4
50.8 MB
09 Machine Learning and Deep learning For Text Data/013 LSTM For Classifying Tweet Sentiment-1.mp4
49.1 MB
04 Extracting Tweets (Without An API)/004 Obtain The Most Popular Tweets of a User.mp4
47.1 MB
10 Miscellaneous Information/002 Set up the FourSquare App.mp4
46.7 MB
08 Exploring Sentiments/001 Identify the Polarity of Text.mp4
45.8 MB
07 Exploring Text Data/009 Word Count of Common Words.mp4
43.5 MB
07 Exploring Text Data/008 A Basic Wordcloud.mp4
43.5 MB
05 Other Ways of Obtaining Textual Data/003 Obtain Financial News Headlines.mp4
41.6 MB
09 Machine Learning and Deep learning For Text Data/006 Identifying Textual Clusters With K-means.mp4
41.5 MB
01 Introduction To Social Media Mining With Python/003 Python Installation.mp4
41.2 MB
06 Basic Textual Data Preprocessing/007 Another NTLK-Based Workflow.mp4
40.9 MB
08 Exploring Sentiments/006 VADER Sentiment For Financial News.mp4
40.8 MB
08 Exploring Sentiments/005 VADER Sentiment Analysis For Text Analysis.mp4
39.5 MB
06 Basic Textual Data Preprocessing/004 A Function For Text Cleaning.mp4
38.9 MB
01 Introduction To Social Media Mining With Python/004 What Is Google CoLab_.mp4
38.5 MB
08 Exploring Sentiments/003 Dealing With Dates.mp4
37.9 MB
06 Basic Textual Data Preprocessing/006 NTLK Cleaning.mp4
36.3 MB
04 Extracting Tweets (Without An API)/011 Another Way of Obtaining Tweets.mp4
35.3 MB
08 Exploring Sentiments/002 Polarity_ Positive or Negative.mp4
33.5 MB
02 Basic Data Preprocessing/002 Basic Data Cleaning With Pandas.mp4
33.3 MB
04 Extracting Tweets (Without An API)/005 Obtain Tweets For A User Between A Certain Date.mp4
32.9 MB
09 Machine Learning and Deep learning For Text Data/008 Classify the Tweet Sentiment-GBM.mp4
32.6 MB
01 Introduction To Social Media Mining With Python/001 Welcome to the Course.mp4
31.5 MB
09 Machine Learning and Deep learning For Text Data/003 A Simple Machine Learning Model on Textual Data.mp4
31.4 MB
05 Other Ways of Obtaining Textual Data/002 Using APIs_ Singapore MRT Stations.mp4
30.2 MB
09 Machine Learning and Deep learning For Text Data/012 Brief Lowdown on Word Embeddings.mp4
29.7 MB
01 Introduction To Social Media Mining With Python/005 Google Colabs and GPU.mp4
29.0 MB
07 Exploring Text Data/010 N-Grams.mp4
28.9 MB
04 Extracting Tweets (Without An API)/001 Obtaining Tweets Without A Twitter Account.mp4
28.7 MB
06 Basic Textual Data Preprocessing/003 Final Cleaned Text.mp4
28.4 MB
04 Extracting Tweets (Without An API)/006 Look With For With a Specific Term.mp4
28.1 MB
04 Extracting Tweets (Without An API)/012 More Snscrape Tweets.mp4
28.0 MB
03 Welcome To Social Media/001 Can Social Media Be Useful__ The Case of Twitter.mp4
28.0 MB
06 Basic Textual Data Preprocessing/005 More Text Cleaning.mp4
27.9 MB
01 Introduction To Social Media Mining With Python/006 Google Colab Packages.mp4
27.8 MB
07 Exploring Text Data/003 Of Mentions and Hashtags.mp4
26.9 MB
07 Exploring Text Data/001 Tweet Lengths.mp4
26.8 MB
08 Exploring Sentiments/004 Introduction to VADER Sentiment Analysis.mp4
25.5 MB
06 Basic Textual Data Preprocessing/002 Lets Start Cleaning The Text.mp4
25.4 MB
07 Exploring Text Data/004 Identify The Most Popular Hashtags.mp4
23.4 MB
04 Extracting Tweets (Without An API)/003 Get Elon Musk's Tweet.mp4
23.2 MB
07 Exploring Text Data/011 Network of Bigrams.mp4
23.2 MB
07 Exploring Text Data/007 Basic Wordcloud-Install.mp4
22.4 MB
08 Exploring Sentiments/007 Visualise the Sentiments.mp4
21.6 MB
09 Machine Learning and Deep learning For Text Data/007 DBSCAN Based Textual Clustering.mp4
20.6 MB
04 Extracting Tweets (Without An API)/009 Tweets From Multiple Locations.mp4
20.6 MB
04 Extracting Tweets (Without An API)/008 Tweets From a Location.mp4
20.2 MB
09 Machine Learning and Deep learning For Text Data/002 Preprocessing-Toy Example.mp4
20.1 MB
09 Machine Learning and Deep learning For Text Data/005 Unsupervised Learning With K-Means Algorithm.mp4
19.1 MB
05 Other Ways of Obtaining Textual Data/001 What is API_.mp4
18.9 MB
07 Exploring Text Data/002 How People Interact With Tweets.mp4
17.0 MB
07 Exploring Text Data/005 Identify the Most Common Usernames.mp4
11.9 MB
04 Extracting Tweets (Without An API)/007 Elon Musk's Bitcoin Tweets.mp4
11.3 MB
04 Extracting Tweets (Without An API)/002 Lets Dip Our Toes Into Twitter.mp4
9.0 MB
logo.jpg
73.8 kB
02 Basic Data Preprocessing/001 What Is Pandas_.en.srt
11.9 kB
05 Other Ways of Obtaining Textual Data/004 Obtaining Textual Data From Reddit.en.srt
10.3 kB
02 Basic Data Preprocessing/003 Basics of Data Visualization.en.srt
8.5 kB
10 Miscellaneous Information/001 Lets Do Dictionaries.en.srt
8.5 kB
09 Machine Learning and Deep learning For Text Data/004 Predicting Stock Price Movements Based On Newspaper Headlines.en.srt
8.2 kB
09 Machine Learning and Deep learning For Text Data/001 What Is Machine Learning_.en.srt
8.0 kB
01 Introduction To Social Media Mining With Python/004 What Is Google CoLab_.en.srt
8.0 kB
01 Introduction To Social Media Mining With Python/005 Google Colabs and GPU.en.srt
7.2 kB
04 Extracting Tweets (Without An API)/010 Tweets From Multiple Locations and Multiple Terms.en.srt
7.1 kB
01 Introduction To Social Media Mining With Python/003 Python Installation.en.srt
6.9 kB
07 Exploring Text Data/012 Topic Modelling With Gensim.en.srt
6.9 kB
09 Machine Learning and Deep learning For Text Data/006 Identifying Textual Clusters With K-means.en.srt
6.7 kB
09 Machine Learning and Deep learning For Text Data/013 LSTM For Classifying Tweet Sentiment-1.en.srt
6.6 kB
09 Machine Learning and Deep learning For Text Data/003 A Simple Machine Learning Model on Textual Data.en.srt
6.6 kB
09 Machine Learning and Deep learning For Text Data/011 Long short-term memory (LSTM)_ Theory.en.srt
6.2 kB
10 Miscellaneous Information/002 Set up the FourSquare App.en.srt
5.8 kB
06 Basic Textual Data Preprocessing/001 Introduction to Theory.en.srt
5.8 kB
04 Extracting Tweets (Without An API)/004 Obtain The Most Popular Tweets of a User.en.srt
5.8 kB
07 Exploring Text Data/008 A Basic Wordcloud.en.srt
5.7 kB
07 Exploring Text Data/009 Word Count of Common Words.en.srt
5.7 kB
07 Exploring Text Data/001 Tweet Lengths.en.srt
5.5 kB
08 Exploring Sentiments/001 Identify the Polarity of Text.en.srt
5.4 kB
09 Machine Learning and Deep learning For Text Data/008 Classify the Tweet Sentiment-GBM.en.srt
5.4 kB
07 Exploring Text Data/010 N-Grams.en.srt
5.3 kB
01 Introduction To Social Media Mining With Python/006 Google Colab Packages.en.srt
5.2 kB
03 Welcome To Social Media/001 Can Social Media Be Useful__ The Case of Twitter.en.srt
5.1 kB
08 Exploring Sentiments/006 VADER Sentiment For Financial News.en.srt
4.9 kB
05 Other Ways of Obtaining Textual Data/003 Obtain Financial News Headlines.en.srt
4.8 kB
02 Basic Data Preprocessing/002 Basic Data Cleaning With Pandas.en.srt
4.8 kB
09 Machine Learning and Deep learning For Text Data/009 Keras Installation-Windows.en.srt
4.7 kB
06 Basic Textual Data Preprocessing/007 Another NTLK-Based Workflow.en.srt
4.4 kB
09 Machine Learning and Deep learning For Text Data/012 Brief Lowdown on Word Embeddings.en.srt
4.3 kB
08 Exploring Sentiments/005 VADER Sentiment Analysis For Text Analysis.en.srt
4.2 kB
06 Basic Textual Data Preprocessing/003 Final Cleaned Text.en.srt
4.2 kB
04 Extracting Tweets (Without An API)/011 Another Way of Obtaining Tweets.en.srt
4.2 kB
09 Machine Learning and Deep learning For Text Data/002 Preprocessing-Toy Example.en.srt
4.1 kB
07 Exploring Text Data/011 Network of Bigrams.en.srt
4.1 kB
04 Extracting Tweets (Without An API)/005 Obtain Tweets For A User Between A Certain Date.en.srt
4.1 kB
07 Exploring Text Data/006 What Are Wordclouds_.en.srt
4.1 kB
01 Introduction To Social Media Mining With Python/001 Welcome to the Course.en.srt
4.0 kB
06 Basic Textual Data Preprocessing/002 Lets Start Cleaning The Text.en.srt
4.0 kB
08 Exploring Sentiments/003 Dealing With Dates.en.srt
4.0 kB
08 Exploring Sentiments/007 Visualise the Sentiments.en.srt
3.8 kB
05 Other Ways of Obtaining Textual Data/002 Using APIs_ Singapore MRT Stations.en.srt
3.6 kB
06 Basic Textual Data Preprocessing/004 A Function For Text Cleaning.en.srt
3.6 kB
04 Extracting Tweets (Without An API)/012 More Snscrape Tweets.en.srt
3.6 kB
09 Machine Learning and Deep learning For Text Data/010 Keras Installation-Mac.en.srt
3.5 kB
07 Exploring Text Data/007 Basic Wordcloud-Install.en.srt
3.4 kB
08 Exploring Sentiments/002 Polarity_ Positive or Negative.en.srt
3.4 kB
05 Other Ways of Obtaining Textual Data/001 What is API_.en.srt
3.3 kB
04 Extracting Tweets (Without An API)/009 Tweets From Multiple Locations.en.srt
3.2 kB
08 Exploring Sentiments/004 Introduction to VADER Sentiment Analysis.en.srt
3.1 kB
06 Basic Textual Data Preprocessing/005 More Text Cleaning.en.srt
3.1 kB
09 Machine Learning and Deep learning For Text Data/007 DBSCAN Based Textual Clustering.en.srt
3.1 kB
07 Exploring Text Data/003 Of Mentions and Hashtags.en.srt
3.0 kB
04 Extracting Tweets (Without An API)/006 Look With For With a Specific Term.en.srt
2.9 kB
04 Extracting Tweets (Without An API)/003 Get Elon Musk's Tweet.en.srt
2.7 kB
07 Exploring Text Data/005 Identify the Most Common Usernames.en.srt
2.6 kB
07 Exploring Text Data/004 Identify The Most Popular Hashtags.en.srt
2.6 kB
04 Extracting Tweets (Without An API)/001 Obtaining Tweets Without A Twitter Account.en.srt
2.5 kB
04 Extracting Tweets (Without An API)/008 Tweets From a Location.en.srt
2.4 kB
09 Machine Learning and Deep learning For Text Data/005 Unsupervised Learning With K-Means Algorithm.en.srt
2.3 kB
07 Exploring Text Data/002 How People Interact With Tweets.en.srt
2.2 kB
01 Introduction To Social Media Mining With Python/002 Data and Code.html
1.6 kB
04 Extracting Tweets (Without An API)/007 Elon Musk's Bitcoin Tweets.en.srt
1.4 kB
04 Extracting Tweets (Without An API)/002 Lets Dip Our Toes Into Twitter.en.srt
1.4 kB
!!! More Courses !!!.txt
1.2 kB
06 Basic Textual Data Preprocessing/006 NTLK Cleaning.en.vtt
8 Bytes
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