Text Analysis and Natural Language Processing With Python

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Text Analysis and Natural Language Processing With Python

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收录时间：2024-02-07
最近下载：2024-11-18

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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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