1e416013186c20a17cb-1134 20230519063538871 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 05 30 2023 12 6 Student, Department of Computer Science and Engineering, Kalaignar Karunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India. Nithya Chenthoorani P https://orcid.org/0009-0009-9948-3295 Mahalaksmi K https://orcid.org/0000-0003-3627-6220 Research Supervisor, Department of Computer Science and Engineering, Kalaignar Karunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India Identifying fake news is crucial in the fight against misinformation. To achieve this goal, our project employs SVM and NB algorithms. We also utilize sentiment information from labeled and unlabeled data to improve the sentiment classifiers’ understanding of fake news in each trend. With the proliferation of the internet, there is a growing volume of dubious and intentional lym is leading content. The quality of fake news can be so high that it can be challenging to differentiate it from authentic news. Thus, the use of deep learning and machine learning methods for identifying fake news automatically has become significantly crucial. In our project, we pre-process the text using techniques such as stemming, lemmatization and stop word removal from creating text representations for our models. Our system’s essential features are based on two observations: first, we aim to classify words, and second, our customers receive a filtered subset of fake news. To categorize fake news based on the social transmission of false news, we experiment with a simple set of language-independent criteria. 05 30 2023 44 50 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true No, I did not receive it. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. Mahalakshmi K developed the study's concept and design, conducted data collection and analysis, and composed the initial manuscript. She provided valuable input to the study design, contributed to data analysis and interpretation, and made significant revisions to the manuscript. Nithya Chenthoorani P was involved in data collection and analysis and provided critical feedback and edits to the manuscript. All authors have carefully reviewed and approved the final version of the manuscript. 10.35940/ijitee.F9562.0512623 https://www.ijitee.org/portfolio-item/F95620512623/