Semantic Analysis and Classification of Emails through Informative Selection of Features and Ensemble AI Model

Author:

Sachan Shivangi1ORCID,Doulani Khushbu2ORCID,Adhikari Mainak1ORCID

Affiliation:

1. Department of Computer Science, Indian Institute of Information Technology Lucknow, India

2. Department of Computer Science, Vardhaman College of Engineering, India

Publisher

ACM

Reference23 articles.

1. Rayan Salah Hag Ali and Neamat El Gayar . 2019 . Sentiment analysis using unlabeled email data . In 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 328–333 . Rayan Salah Hag Ali and Neamat El Gayar. 2019. Sentiment analysis using unlabeled email data. In 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 328–333.

2. Proposed efficient algorithm to filter spam using machine learning techniques

3. Huwaida  T Elshoush and Esraa  A Dinar . 2019. Using adaboost and stochastic gradient descent (sgd) algorithms with R and orange software for filtering e-mail spam. In 2019 11th Computer Science and Electronic Engineering (CEEC) . IEEE , 41–46. Huwaida T Elshoush and Esraa A Dinar. 2019. Using adaboost and stochastic gradient descent (sgd) algorithms with R and orange software for filtering e-mail spam. In 2019 11th Computer Science and Electronic Engineering (CEEC). IEEE, 41–46.

4. A support vector machine based naive Bayes algorithm for spam filtering

5. A Systematic Review on Spam Filtering Techniques based on Natural Language Processing Framework

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