Awesome
Hands-On NLTK Tutorial
The hands-on NLTK tutorial in the form of Jupyter notebooks
NLTK is one of the most popular Python packages for Natural Language Processing (NLP).
Index of Jupyter Notebooks
| Notebooks |
|---|
| 1.1 Downloading Libs and Testing That They Are Working<br>Getting ready to start! |
| 1.2 Text Analysis Using nltk.text<br>Extracting interesting data from a given text |
| 2.1 Deriving N-Grams from Text<br>Creating n-grams (for language classification) |
| 2.2 Detecting Text Language by Counting Stop Words.ipynb<br>A simple way to find out what language a text is written in |
| 2.3 Language Identifier Using Word Bigrams<br>State-of-the-art language classifier |
| 3.1 Bigrams, Stemming and Lemmatizing<br>NLTK makes bigrams, stemming and lemmatization super-easy |
| 3.2 Finding Unusual Words in Given Language<br>Which words do not belong with the rest of the text? |
| 3.3 Creating a POS Tagger<br>Creating a Parts Of Speech tagger |
| 3.4 Parts of Speech and Meaning<br>Exploring awesome features offered by WordNet |
| 4.1 Name Gender Identifier<br>Building a classifier that guesses the gender of a name |
| 4.2 Classifying News Documents into Categories<br>Building a classifier that guesses the category of a news item |
| 5.1 Sentiment Analysis<br>Is a movie review positive or negative? |
| 5.2 Sentiment Analysis with nltk.sentiment.SentimentAnalyzer and VADER tools<br>More sentiment analysis! |
| 6.1 Twitter Stream (and Cleaning Tweets)<br>Live-stream tweets from Twitter |
| 6.2 Twitter Search<br>Search through past tweets |
| 7.1 NLTK with the Greek Script<br>Using NLTK with foreign scripts |
| 8.1 The langdetect and langid Libraries<br>Useful libraries for language identification |
| 8.2 Word2Vec (gensim)<br>Google's Word2vec |
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H. Z. Sababa — hb20007 — hzsababa@outlook.com
Distributed under the MIT license. See LICENSE for more information.