proposal for STAT946 (Deep Learning) final projects Fall 2015: Difference between revisions

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'''Title:''' Sentiment Analysis on Movie Reviews
'''Title:''' Sentiment Analysis on Movie Reviews


''' Description:'''
''' Description:''' The idea and data for this project is taken from http://www.kaggle.com/c/sentiment-analysis-on-movie-reviews.
The idea and data for this project is taken from http://www.kaggle.com/c/sentiment-analysis-on-movie-reviews.
Sentiment analysis is the problem of determining whether a given string contains positive or negative sentiment.  For example, “A series of escapades demonstrating the adage that what is good for the goose is also good for the gander , some of which occasionally amuses but none of which amounts to much of a story” contains negative sentiment, but it is not immediately clear which parts of the sentence make it so.
Sentiment analysis is the problem of determining whether a given string contains positive or negative sentiment.  For example, “A series of escapades demonstrating the adage that what is good for the goose is also good for the gander , some of which occasionally amuses but none of which amounts to much of a story” contains negative sentiment, but it is not immediately clear which parts of the sentence make it so.
This competition seeks to implement machine learning algorithms that can determine the sentiment of a movie review.
This competition seeks to implement machine learning algorithms that can determine the sentiment of a movie review.

Revision as of 01:25, 2 October 2015

Project 0: (This is just an example)

Group members:Massey Cashore, GuoXian Yau, Yueshan He

Title: Sentiment Analysis on Movie Reviews

Description: The idea and data for this project is taken from http://www.kaggle.com/c/sentiment-analysis-on-movie-reviews. Sentiment analysis is the problem of determining whether a given string contains positive or negative sentiment. For example, “A series of escapades demonstrating the adage that what is good for the goose is also good for the gander , some of which occasionally amuses but none of which amounts to much of a story” contains negative sentiment, but it is not immediately clear which parts of the sentence make it so. This competition seeks to implement machine learning algorithms that can determine the sentiment of a movie review.