Suicide Prediction Using Sentimental Analysis of Tweets: A Survey Paper
Abstract
Abstract: Committing suicides is very common all over the world. A study by WHO says that there is one death in every 20 sec. We will explore various works conducted by different scholars in order to make an introductory guide for the research to be conducted in future.
Keywords: Tweets, sentimental analysis, suicide prediction, Naïve Bayes, Decision Tree
Cite this Article: Musadiq Islam, Aman Sheheryar. Suicide Prediction Using Sentimental Analysis of Tweets: A Survey Paper. Journal of Computer Technology & Applications. 2019; 10(3): 8–11p.
Downloads
Published
Issue
Section
License
Declaration and Copyright Transfer Form
(to be completed by authors)
I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.
- I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
- I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
- I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
- I/We also agree to the authorship of the article in the following order:
Author’s name
1. ________________
2. ________________
3. ________________
4. ________________
| We Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal. |
