Course Page: http://condor.depaul.edu/ntomuro/courses/594NLP/
The project's task is to write a program that accepts as input a plain text document and extract some properties of the content.
The project's task is to implement unigram and bigram language models from scratch. Specifics: Create models from a given (training) data and run them on a test data to evaluate the models.
The project's task is to implement an HMM-based approach to POS tagging from scratch. Specifically, implement the Viterbi decoding algorithm, as described in J&M section 10.4, using a bigram tag/state model.
This project is the personal final project for this course. The task is to classify UA twitters's sentiment by building a Naive Bayers Classifier from scratch using unigram, bigram, trigram language models.