conference-paper

Sentiment Analysis of Tweets Using Various Machine Learning Techniques

  • 2018 International Conference on Advanced Computation and Telecommunication (ICACAT)
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Abstract

In todays e-commerce market where online shopping and tourism is fastly growing so it very important to analyze such huge amount of large data present in web. So it is very important to create a method which classify the web data. Sentiment analysis is a method to classify the web data such as product reviews, views in to various polarities such a positive, negative or neutral. In this paper we classify the reviews by using various machine learning techniques, In this we create a various classification model and compute the performance of each models and select the best classification models based on their performance computation. We will use a combination of simple linear method (LDA), nonlinear methods (CART, KNN) and complex nonlinear methods (SVM, RF, C5.0).

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Publication details

DOI
10.1109/icacat.2018.8933612
OpenAlex
W2995572800
Document type
conference-paper
Language
EN
Source
2018 International Conference on Advanced Computation and Telecommunication (ICACAT)
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