Question

_______________ is being used to identify any sort of hate speech and terroristic languages in tweets ​

Answer 1

Answer:

Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis. We define this task as being able to classify a tweet as racist, sexist or neither. The complexity of the natural language constructs makes this task very challenging. We perform extensive experiments with multiple deep learning architectures to learn semantic word embeddings to handle this complexity.

Answer 2

Answer:

C-GRU

Explanation:

C-GRU, a Convolution-GRU Based Deep Neural Network proposed by Zhang, et al., consolidates convolutional brain organizations (CNN) and gated repetitive organizations (GRU) to distinguish disdain discourse on Twitter. They direct a few assessments on freely accessible Twitter datasets showing their capacity to catch word succession and request in short text.