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cosine-similarity freqdist lemmatization nltk parsing part-of-speech pmi pos regular-expression string-similarity

text-mining-with-python's Introduction

Text-mining-with-Python

HW1:

  1. Display the 30 most common words in descending order.

  2. Display the 30 most common words in descending orde for male and female using PMI.

  3. Display the 30 most common words in descending order for Musical Artist and Politician.

  4. Display the most 10 positive and negative descriptions.

  5. How many tweets include a Hebrew or Arabic character.

  6. Most popular emoticons.

HW2:

  1. Regular expressions

  2. Similarity between strings

  3. Similarity between texts

HW3:

  1. Preprocessing

  2. Parts of speech

  3. Parsing

  4. Word2Vec

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