v-voloshyna/All-day-AI-Building-AI-with-AI
AI agent builds a simple sentiment classifier if the movie was good or bad based on review text. The data was a trap that agent ignored. Agent uses TF-IDF (word unigrams + bigrams, sublinear TF) feeding a logistic regression (scikit-learn). Used the data from https://www.cs.cornell.edu/people/pabo/movie-review-data/ to create split datasets.
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Language: Python