SENTIMENT ANALYSIS OF TWITTER DATA USING LOGISTIC REGRESSION

Raju Shrestha
2019
BSc.CSIT
Semester 6
Downloads 9

Sentiment Analysis is a method for judging somebody's sentiment or feeling with respect to a specific thing written in a piece of text. It is used to recognize and arrange the sentiments communicated in writings. The web-based social networking sites like twitter draws in a huge number of clients that are online for imparting their insights in the form of tweets or comments. The tweets can be then classified into positive, negative, or neutral. In the proposed work, logistic regression classification is used as a classifier and unigram as a feature vector.

Sentiment Analysis
Sentiment Analysis
Tweets Sentiment Analysis
opinion mining
Naïve Bayes Classifier.
Text classification
Unigrams
Polarity
Supervised Machine Learning
Logistic Regression
Natural Language Processing

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