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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Early Detection of Depression from Social Media Data Using Machine Learning Algorithms |
| Authors Name: | Thejaswini V , Yashavanth T R |
| Unique Id: | IJSDR2308032 |
| Published In: | Volume 8 Issue 8, August-2023 |
| Abstract: | Depression has become a serious problem in this current generation and the number of people affected by depression is increasing day by day. However, some of them manage to acknowledge that they are facing depression while some of them do not know it. On the other hand, the vast progress of social media is becoming their “diary” to share their state of mind. Several kinds of research had been conducted to detect depression through the user post on social media using machine learning algorithms. Through the data available on social media, the researcher can able to know whether the users are facing depression or not. Machine learning algorithm enables to classify the data into correct groups and identify the depressive and non-depressive data. The proposed research work aims to detect the depression of the user by their data, which is shared on social media. The Twitter data is then fed into two different types of classifiers, which are Naïve Bayes, SVM, Random Forest and KNN. The results will be compared based on the highest accuracy value to determine the best algorithm to detect depression. The results show both algorithms perform equally by proving same accuracy level. Finally select the best algorithm for deployment to build an application. |
| Keywords: | Depression, Machine Learning, Sentimental Analysis |
| Cite Article: | "Early Detection of Depression from Social Media Data Using Machine Learning Algorithms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 8, page no.224 - 228, August-2023, Available :http://www.ijsdr.org/papers/IJSDR2308032.pdf |
| Downloads: | 000338721 |
| Publication Details: | Published Paper ID: IJSDR2308032 Registration ID:208099 Published In: Volume 8 Issue 8, August-2023 DOI (Digital Object Identifier): Page No: 224 - 228 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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