imdb-reviews-sentiment-analysis's Introduction
Authors: - Nolan Spillane - Patrick Cappello How to Run: - Install the depedencies below - Run 'clean data.py' in order to generate the features used to train the models (results are already generated and can be found in data\features.csv) - Run 'logistic regression.py' to train the Logistic Regression model and evaluate using 10 fold cross validation - Run 'naiveBayes.py' to train the Multinomial Naive Bayes model and evaluate using 10 fold cross validation Dependecies: - matplotlib 3.3.4 - pandas 1.2.1 - numpy 1.19.5 - nltk 3.7 - scikit-learn 0.24.1 Resources Used: IMDB Data: https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?resource=download Positive and Negative Words: Positive Words: https://gist.github.com/mkulakowski2/4289437 Negative Words: https://gist.github.com/mkulakowski2/4289441 This file and the papers can all be downloaded from ; http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html ; ; If you use this list, please cite one of the following two papers: ; ; Minqing Hu and Bing Liu. "Mining and Summarizing Customer Reviews." ; Proceedings of the ACM SIGKDD International Conference on Knowledge ; Discovery and Data Mining (KDD-2004), Aug 22-25, 2004, Seattle, ; Washington, USA, ; Bing Liu, Minqing Hu and Junsheng Cheng. "Opinion Observer: Analyzing ; and Comparing Opinions on the Web." Proceedings of the 14th ; International World Wide Web conference (WWW-2005), May 10-14, ; 2005, Chiba, Japan. ; ; Notes: ; 1. The appearance of an opinion word in a sentence does not necessarily ; mean that the sentence expresses a positive or negative opinion. ; See the paper below: ; ; Bing Liu. "Sentiment Analysis and Subjectivity." An chapter in ; Handbook of Natural Language Processing, Second Edition, ; (editors: N. Indurkhya and F. J. Damerau), 2010. ; ; 2. You will notice many misspelled words in the list. They are not ; mistakes. They are included as these misspelled words appear ; frequently in social media content. ; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
imdb-reviews-sentiment-analysis's People
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