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1. Collocation-Detection Collocation-Detection Public

   Calculates the pointwise mutual information and Chi-square values to determine if two words are collocations

   Python

2. Sentence-Boundary-Detection Sentence-Boundary-Detection Public

   Extracts features near occurences of '.' characters to determine if a '.' is used to end a sentence vs something like an abbreviation

   Python

3. Part-of-Speech-Tagging Part-of-Speech-Tagging Public

   This program is an implementation of the Viterbi Hidden Markov Model.

   Python

4. Word-Sense-Disambiguation Word-Sense-Disambiguation Public

   Using Naive Bayes, and an annotated corpus, this program learns the correct word sense for given words and makes predictions about words in the testing set.

   Python

5. Text-Summarization Text-Summarization Public

   Summarizes Product Reviews. Uses Word2Vec to get word embeddings

   Jupyter Notebook

6. Sarcasm-Detection Sarcasm-Detection Public

   Trains several classifiers on a dataset obtained from Reddit. Features inclue unigrams, bigrams, trigrams, and word embeddings. Word embeddings obtained via pretrained word2vec model.

   Jupyter Notebook