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Home / Archives / Volume-5 / Issue-3 / Article-1

Volume - 5 | Issue - 3 | september 2023

Contextual Text Mining on Social Media of Political Leaders Using Machine Learning Algorithms
Aleemullakhan Pathan  , R. Sundar
Pages: 207-226
Cite this article
Pathan, A. & Sundar, R. (2023). Contextual Text Mining on Social Media of Political Leaders Using Machine Learning Algorithms. Journal of Artificial Intelligence and Capsule Networks, 5(3), 207-226. doi:10.36548/jaicn.2023.3.001
Published
06 July, 2023
Abstract

Now a day’s most of the political leaders use social media to easily communicate with the people, such as sharing their ideas, promoting their policies etc. Contextual text mining is used to acknowledge the opinions of the political leaders as well as attitude on different subjects such as opinions, discussions and microblogs. Natural language processing (NLP) is included for performing the contextual text mining in order to provide the communication between the human and the machine with natural language. A new model has been implemented to compare the dataset of the political leaders which is extracted from facebook and twitter with different machine learning algorithms like Support Vector Machine (SVM), Naive Bayes Classifier (NBC) and Ensemble Learning Methods (ELM) to provide better and accurate results than other machine learning algorithms.

Keywords

Contextual Text Mining Social Media Natural language Processing (NLP) Machine Learning Algorithms

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