通过在线社交媒体挖掘检测社交网络精神障碍

January 2021 Pub Date : 2021-01-04 DOI:10.46501/ijmtst0701006

Prof. Narinder Kaur and Lakshay Monga

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引用次数: 0

摘要

“社会网络精神障碍检测”或“SNMD”是一种分析数据并检索其所体现的情感的方法。Twitter SNMD分析是对Twitter(tweets)数据进行情感分析的一种应用，目的是提取用户传递的情感。在本文中，我们的目标是回顾一些关于Twitter情感分析研究的论文，描述所采用的方法和应用的模型，以及描述一种基于Python的通用方法。开发并测试了原型系统。

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Social Network Mental Disorders Detection via Online Social Media Mining

Social Network Mental Disorder Detection” or “SNMD” is an approach to analyse data and retrieve sentiment that it embodies. Twitter SNMD analysis is an application of sentiment analysis on data from Twitter (tweets), in order to extract sentiments conveyed by the user. In this paper, we aim to review some papers regarding research in sentiment analysis on Twitter, describing the methodologies adopted and models applied, along with describing a generalized Python based approach. A prototype system is developed and tested.

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January 2021

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