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  01 Introduction To Social Media Mining With Python

   001 Welcome to the Course.mp4

   003 Python Installation.en.srt

   004 What Is Google CoLab_.en.srt

   005 Google Colabs and GPU.en.srt

   006 Google Colab Packages.en.srt

  02 Basic Data Preprocessing

   001 What Is Pandas_.mp4

   002 Basic Data Cleaning With Pandas.mp4

   003 Basics of Data Visualization.mp4

  03 Welcome To Social Media

   001 Can Social Media Be Useful__ The Case of Twitter.mp4

  04 Extracting Tweets (Without An API)

   001 Obtaining Tweets Without A Twitter Account.mp4

   002 Lets Dip Our Toes Into Twitter.mp4

   003 Get Elon Musk's Tweet.mp4

   004 Obtain The Most Popular Tweets of a User.mp4

   005 Obtain Tweets For A User Between A Certain Date.mp4

   006 Look With For With a Specific Term.mp4

   007 Elon Musk's Bitcoin Tweets.mp4

   008 Tweets From a Location.mp4

   009 Tweets From Multiple Locations.mp4

   010 Tweets From Multiple Locations and Multiple Terms.mp4

   011 Another Way of Obtaining Tweets.mp4

   012 More Snscrape Tweets.mp4

  05 Other Ways of Obtaining Textual Data

   001 What is API_.mp4

   002 Using APIs_ Singapore MRT Stations.mp4

   003 Obtain Financial News Headlines.mp4

   004 Obtaining Textual Data From Reddit.mp4

  06 Basic Textual Data Preprocessing

   001 Introduction to Theory.mp4

   002 Lets Start Cleaning The Text.mp4

   003 Final Cleaned Text.mp4

   004 A Function For Text Cleaning.mp4

   005 More Text Cleaning.mp4

   006 NTLK Cleaning.mp4

   007 Another NTLK-Based Workflow.mp4

  07 Exploring Text Data

   001 Tweet Lengths.mp4

   002 How People Interact With Tweets.mp4

   003 Of Mentions and Hashtags.mp4

   004 Identify The Most Popular Hashtags.mp4

   005 Identify the Most Common Usernames.mp4

   006 What Are Wordclouds_.mp4

   007 Basic Wordcloud-Install.mp4

   008 A Basic Wordcloud.mp4

   009 Word Count of Common Words.mp4

   010 N-Grams.mp4

   011 Network of Bigrams.mp4

   012 Topic Modelling With Gensim.mp4

  08 Exploring Sentiments

   001 Identify the Polarity of Text.mp4

   002 Polarity_ Positive or Negative.mp4

   003 Dealing With Dates.mp4

   004 Introduction to VADER Sentiment Analysis.mp4

   005 VADER Sentiment Analysis For Text Analysis.mp4

   006 VADER Sentiment For Financial News.mp4

   007 Visualise the Sentiments.mp4

  09 Machine Learning and Deep learning For Text Data

   001 What Is Machine Learning_.mp4

   002 Preprocessing-Toy Example.mp4

   003 A Simple Machine Learning Model on Textual Data.mp4

   004 Predicting Stock Price Movements Based On Newspaper Headlines.mp4

   005 Unsupervised Learning With K-Means Algorithm.mp4

   006 Identifying Textual Clusters With K-means.mp4

   007 DBSCAN Based Textual Clustering.mp4

   008 Classify the Tweet Sentiment-GBM.mp4

   009 Keras Installation-Windows.mp4

   010 Keras Installation-Mac.mp4

   011 Long short-term memory (LSTM)_ Theory.mp4

   012 Brief Lowdown on Word Embeddings.mp4

   013 LSTM For Classifying Tweet Sentiment-1.mp4

  10 Miscellaneous Information

   001 Lets Do Dictionaries.mp4

   002 Set up the FourSquare App.mp4