Short Notes

  https://github.com/zeeraktalat/hatespeech https://github.com/ShruthiPrabhu29/hateSpeechDetectionTwitter https://hatespeechdata.com/#Englis...

 . Multi-label hate speech and abusive language detection is a task in natural language processing (NLP) that aims to identify and classify ...

  . Researchers have paid significant attention to short text hate speech detection due to several reasons: 1. Ubiquity of Short Texts: Shor...

. Detecting hate speech in short text poses significant challenges due to various factors.  Firstly, the limited length of short text restri...

  . Short texts refer to textual data that consists of a small number of words or characters. Unlike longer texts, which can span multiple p...

  . The main differences between multi-label, multi-class, and binary classification are: 1. Multi-Label Classification:    - In multi-label...

Multiple Labels per Instance : Each instance in the dataset can have one or more associated labels, rather than just a single label. Depende...

  . A multi-label dataset is a type of dataset where each data instance can be associated with multiple labels or categories simultaneously....

. Big data can play a significant role in assisting governments and organizations in responding more effectively to human crises in several ...

. Governments and organizations often face several key challenges when responding to human crises, including: 1. Logistical challenges:    -...