Abstract:
The objective ofthis project is to develop an algorithm that can be used to identify the
hateful comment from the lot. This report spots out how
identify these types oftweets and also what points
toxic or
we can normally
looking at when discussing
such cases. Different stages involving text processing like the pre-processing stage,
segmentation and feature extraction will be studied and discussed. Finally,
product of the algorithms will be written. This projegrtises data form the twitter and
then analysis it for toxic or simply bad comments that may harm anyone or fulfils the
intention of harming anyone. The project
are we
the end
Neural Network model to classify the
basic word encodings including Universal sentence encodings
TensorFlow libraries to develop such system. The system first proceeds
gathering ofdata and requirement ofdata involves a tweeter developers account and a
working scraping code for tweeter. Filtering, segmentation, resizing and features
extraction are also performed in the process. Thisls the process of creating this
classifier, and recommendations for future development and conclusions
included in the report.
