How to classify text using Word2Vec
Word2Vec vectors are basically a form of word representation that bridges the human understanding of language to that of a machine.
NLP
Transfer Learning with GloVe
Transfer learning is one of the most important breakthroughs in machine learning! It helps us to use the models created by others.
Sentiment Analysis of Tweets using BERT
BERT stands for Bidirectional Encoder Representations from Transformers and it is a state-of-the-art machine learning model used for NLP tasks like text classification, sentiment analysis, text summarization, etc.
Support Ticket Classification using TF-IDF Vectorization
This is probably one project which every organisation can benefit from! A lot of human effort is spent unnecessarily every day just to re-prioritize the incoming support tickets to their deserving priority, because everyone just creates them either as Priority-2 or Priority-1. This issue can be solved to some extent if we had a predictive …
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