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A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis
In order to accelerate the performance of various Natural Language Processing tasks for Roman Urdu, this paper for the very first time provides 3 neural word embeddings prepared using most widely used approaches namely Word2vec, FastText, and Glove.
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