A Health Focused Text Classification Tool (HFTCT)

TL;DR

HFTCT is a text classification tool for social media that uses wordlists to identify opinions, but its reliability is limited by the scope of its wordlists.

Contribution

The paper introduces HFTCT, a new opinion classification tool that leverages wordlists, highlighting its potential and limitations in social media data management.

Findings

HFTCT can classify opinions reasonably well.

Wordlists are limited and sometimes unreliable.

The approach faces challenges with diverse language use.

Abstract

Due to the high number of users on social media and the massive amounts of queries requested every second to share a new video, picture, or message, social platforms struggle to manage this humungous amount of data that is endlessly coming in. HFTCT relies on wordlists to classify opinions. It can carry out its tasks reasonably well; however, sometimes, the wordlists themselves fail to be reliable as they are a limited source of positive and negative words.