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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: | DETECTION OF DEPRESSION RELATED POSTS IN SOCIAL MEDIA BY PRE PROCESSING DATA |
| Authors Name: | NALLURI MANIKANTA , POLURI BHARATH , VANNEMREDDY DINESH , SHAIK IBRAHIM , MRS. S K UMA MAHESWARI |
| Unique Id: | IJSDR2304336 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Recently, a growing range of social media- associated mental issues (SNMD) had been diagnosed, consisting of cyber dependancy, records overload and on line compulsion. Today, the signs and symptoms of these psychiatric problems are normally determined passively, leading to a postpone in clinical intervention. In this text, we argue that online social interplay analysis provides an possibility to proactively hit upon SNMD at an early stage. It is tough to pick out the SNMD due to the fact the mental elements taken into consideration within the popular diagnostic standards (questionnaires) can't be discovered within the cuts of social pastime. Our method, that is new and modern in the use of detecting SnMD, is not based totally on the self-identification of these intellectual factors by using a questionnaire. Instead, we advocate a machine mastering framework, particularly Social Media Mental Disorder Detection (SNMDD), which makes use of features extracted from social media to accurately identify ability cases of SNMD. We additionally use multi-source studying in SNMD and recommend a brand new tensor version (STM) primarily based on SNMD to improve overall performance. Our shape is evaluated through a user take a look at related to 3126 online social network customers. We perform characteristic analysis and follow SNMDD to big datasets and function three varieties of SNMD evaluation. The outcomes display that SNMDD is promising for identifying social media users with ability SNMDs. |
| Keywords: | Social network, Emotions, Depression, Sentiment analysis |
| Cite Article: | "DETECTION OF DEPRESSION RELATED POSTS IN SOCIAL MEDIA BY PRE PROCESSING DATA", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2165 - 2171, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304336.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR2304336 Registration ID:205606 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 2165 - 2171 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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