Download Text Analysis and Natural Language Processing With Python Torrent

Torrent Contents Size: 2.3 GB

Text Analysis and Natural Language Processing With Python

!!! More Courses !!!.txt

TXT

1.14 KB

01 Introduction To Social Media Mining With Python

001 Welcome to the Course.en.srt	SRT	3.94 KB
001 Welcome to the Course.mp4	MP4	30.04 MB
002 Data and Code.html	HTML	1.55 KB
003 Python Installation.en.srt	SRT	6.78 KB
003 Python Installation.mp4	MP4	39.3 MB
004 What Is Google CoLab_.en.srt	SRT	7.84 KB
004 What Is Google CoLab_.mp4	MP4	36.72 MB
005 Google Colabs and GPU.en.srt	SRT	7.06 KB
005 Google Colabs and GPU.mp4	MP4	27.63 MB
006 Google Colab Packages.en.srt	SRT	5.07 KB
006 Google Colab Packages.mp4	MP4	26.48 MB

02 Basic Data Preprocessing

001 What Is Pandas_.en.srt	SRT	11.64 KB
001 What Is Pandas_.mp4	MP4	69.66 MB
002 Basic Data Cleaning With Pandas.en.srt	SRT	4.66 KB
002 Basic Data Cleaning With Pandas.mp4	MP4	31.79 MB
003 Basics of Data Visualization.en.srt	SRT	8.34 KB
003 Basics of Data Visualization.mp4	MP4	94.09 MB

03 Welcome To Social Media

	001 Can Social Media Be Useful__ The Case of Twitter.en.srt	SRT	5.02 KB
	001 Can Social Media Be Useful__ The Case of Twitter.mp4	MP4	26.66 MB

04 Extracting Tweets (Without An API)

001 Obtaining Tweets Without A Twitter Account.en.srt	SRT	2.41 KB
001 Obtaining Tweets Without A Twitter Account.mp4	MP4	27.41 MB
002 Lets Dip Our Toes Into Twitter.en.srt	SRT	1.35 KB
002 Lets Dip Our Toes Into Twitter.mp4	MP4	8.62 MB
003 Get Elon Musk's Tweet.en.srt	SRT	2.62 KB
003 Get Elon Musk's Tweet.mp4	MP4	22.16 MB
004 Obtain The Most Popular Tweets of a User.en.srt	SRT	5.62 KB
004 Obtain The Most Popular Tweets of a User.mp4	MP4	44.95 MB
005 Obtain Tweets For A User Between A Certain Date.en.srt	SRT	3.99 KB
005 Obtain Tweets For A User Between A Certain Date.mp4	MP4	31.38 MB
006 Look With For With a Specific Term.en.srt	SRT	2.81 KB
006 Look With For With a Specific Term.mp4	MP4	26.79 MB
007 Elon Musk's Bitcoin Tweets.en.srt	SRT	1.36 KB
007 Elon Musk's Bitcoin Tweets.mp4	MP4	10.73 MB
008 Tweets From a Location.en.srt	SRT	2.32 KB
008 Tweets From a Location.mp4	MP4	19.27 MB
009 Tweets From Multiple Locations.en.srt	SRT	3.09 KB
009 Tweets From Multiple Locations.mp4	MP4	19.65 MB
010 Tweets From Multiple Locations and Multiple Terms.en.srt	SRT	6.95 KB
010 Tweets From Multiple Locations and Multiple Terms.mp4	MP4	49.98 MB
011 Another Way of Obtaining Tweets.en.srt	SRT	4.08 KB
011 Another Way of Obtaining Tweets.mp4	MP4	33.66 MB
012 More Snscrape Tweets.en.srt	SRT	3.5 KB
012 More Snscrape Tweets.mp4	MP4	26.7 MB

05 Other Ways of Obtaining Textual Data

001 What is API_.en.srt	SRT	3.25 KB
001 What is API_.mp4	MP4	17.99 MB
002 Using APIs_ Singapore MRT Stations.en.srt	SRT	3.55 KB
002 Using APIs_ Singapore MRT Stations.mp4	MP4	28.8 MB
003 Obtain Financial News Headlines.en.srt	SRT	4.67 KB
003 Obtain Financial News Headlines.mp4	MP4	39.69 MB
004 Obtaining Textual Data From Reddit.en.srt	SRT	10.05 KB
004 Obtaining Textual Data From Reddit.mp4	MP4	80.89 MB

06 Basic Textual Data Preprocessing

001 Introduction to Theory.en.srt	SRT	5.66 KB
001 Introduction to Theory.mp4	MP4	58.31 MB
002 Lets Start Cleaning The Text.en.srt	SRT	3.93 KB
002 Lets Start Cleaning The Text.mp4	MP4	24.22 MB
003 Final Cleaned Text.en.srt	SRT	4.08 KB
003 Final Cleaned Text.mp4	MP4	27.1 MB
004 A Function For Text Cleaning.en.srt	SRT	3.52 KB
004 A Function For Text Cleaning.mp4	MP4	37.14 MB
005 More Text Cleaning.en.srt	SRT	2.98 KB
005 More Text Cleaning.mp4	MP4	26.62 MB
006 NTLK Cleaning.en.vtt	VTT	8 B
006 NTLK Cleaning.mp4	MP4	34.65 MB
007 Another NTLK-Based Workflow.en.srt	SRT	4.32 KB
007 Another NTLK-Based Workflow.mp4	MP4	39.03 MB

07 Exploring Text Data

001 Tweet Lengths.en.srt	SRT	5.34 KB
001 Tweet Lengths.mp4	MP4	25.58 MB
002 How People Interact With Tweets.en.srt	SRT	2.1 KB
002 How People Interact With Tweets.mp4	MP4	16.21 MB
003 Of Mentions and Hashtags.en.srt	SRT	2.9 KB
003 Of Mentions and Hashtags.mp4	MP4	25.67 MB
004 Identify The Most Popular Hashtags.en.srt	SRT	2.5 KB
004 Identify The Most Popular Hashtags.mp4	MP4	22.35 MB
005 Identify the Most Common Usernames.en.srt	SRT	2.53 KB
005 Identify the Most Common Usernames.mp4	MP4	11.33 MB
006 What Are Wordclouds_.en.srt	SRT	3.96 KB
006 What Are Wordclouds_.mp4	MP4	53.01 MB
007 Basic Wordcloud-Install.en.srt	SRT	3.33 KB
007 Basic Wordcloud-Install.mp4	MP4	21.37 MB
008 A Basic Wordcloud.en.srt	SRT	5.56 KB
008 A Basic Wordcloud.mp4	MP4	41.45 MB
009 Word Count of Common Words.en.srt	SRT	5.56 KB
009 Word Count of Common Words.mp4	MP4	41.48 MB
010 N-Grams.en.srt	SRT	5.22 KB
010 N-Grams.mp4	MP4	27.6 MB
011 Network of Bigrams.en.srt	SRT	4 KB
011 Network of Bigrams.mp4	MP4	22.08 MB
012 Topic Modelling With Gensim.en.srt	SRT	6.76 KB
012 Topic Modelling With Gensim.mp4	MP4	57.1 MB

08 Exploring Sentiments

001 Identify the Polarity of Text.en.srt	SRT	5.31 KB
001 Identify the Polarity of Text.mp4	MP4	43.64 MB
002 Polarity_ Positive or Negative.en.srt	SRT	3.3 KB
002 Polarity_ Positive or Negative.mp4	MP4	31.99 MB
003 Dealing With Dates.en.srt	SRT	3.92 KB
003 Dealing With Dates.mp4	MP4	36.13 MB
004 Introduction to VADER Sentiment Analysis.en.srt	SRT	3.01 KB
004 Introduction to VADER Sentiment Analysis.mp4	MP4	24.31 MB
005 VADER Sentiment Analysis For Text Analysis.en.srt	SRT	4.13 KB
005 VADER Sentiment Analysis For Text Analysis.mp4	MP4	37.7 MB
006 VADER Sentiment For Financial News.en.srt	SRT	4.81 KB
006 VADER Sentiment For Financial News.mp4	MP4	38.94 MB
007 Visualise the Sentiments.en.srt	SRT	3.73 KB
007 Visualise the Sentiments.mp4	MP4	20.64 MB

09 Machine Learning and Deep learning For Text Data

001 What Is Machine Learning_.en.srt	SRT	7.86 KB
001 What Is Machine Learning_.mp4	MP4	69.66 MB
002 Preprocessing-Toy Example.en.srt	SRT	4.05 KB
002 Preprocessing-Toy Example.mp4	MP4	19.2 MB
003 A Simple Machine Learning Model on Textual Data.en.srt	SRT	6.44 KB
003 A Simple Machine Learning Model on Textual Data.mp4	MP4	29.93 MB
004 Predicting Stock Price Movements Based On Newspaper Headlines.en.srt	SRT	8 KB
004 Predicting Stock Price Movements Based On Newspaper Headlines.mp4	MP4	49.03 MB
005 Unsupervised Learning With K-Means Algorithm.en.srt	SRT	2.24 KB
005 Unsupervised Learning With K-Means Algorithm.mp4	MP4	18.18 MB
006 Identifying Textual Clusters With K-means.en.srt	SRT	6.5 KB
006 Identifying Textual Clusters With K-means.mp4	MP4	39.55 MB
007 DBSCAN Based Textual Clustering.en.srt	SRT	2.98 KB
007 DBSCAN Based Textual Clustering.mp4	MP4	19.68 MB
008 Classify the Tweet Sentiment-GBM.en.srt	SRT	5.27 KB
008 Classify the Tweet Sentiment-GBM.mp4	MP4	31.14 MB
009 Keras Installation-Windows.en.srt	SRT	4.56 KB
009 Keras Installation-Windows.mp4	MP4	59.82 MB
010 Keras Installation-Mac.en.srt	SRT	3.44 KB
010 Keras Installation-Mac.mp4	MP4	65.8 MB
011 Long short-term memory (LSTM)_ Theory.en.srt	SRT	6.08 KB
011 Long short-term memory (LSTM)_ Theory.mp4	MP4	48.42 MB
012 Brief Lowdown on Word Embeddings.en.srt	SRT	4.17 KB
012 Brief Lowdown on Word Embeddings.mp4	MP4	28.31 MB
013 LSTM For Classifying Tweet Sentiment-1.en.srt	SRT	6.48 KB
013 LSTM For Classifying Tweet Sentiment-1.mp4	MP4	46.85 MB

10 Miscellaneous Information

001 Lets Do Dictionaries.en.srt	SRT	8.33 KB
001 Lets Do Dictionaries.mp4	MP4	67.73 MB
002 Set up the FourSquare App.en.srt	SRT	5.71 KB
002 Set up the FourSquare App.mp4	MP4	44.5 MB

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Text Analysis and Natural Language Processing With Python

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