• Corpus ID: 232035603

Multichannel LSTM-CNN for Telugu Technical Domain Identification

@article{Gundapu2021MultichannelLF,
  title={Multichannel LSTM-CNN for Telugu Technical Domain Identification},
  author={Sunil Gundapu and R. Mamidi},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.12179}
}
With the instantaneous growth of text information, retrieving domain-oriented information from the text data has a broad range of applications in Information Retrieval and Natural language Processing. Thematic keywords give a compressed representation of the text. Usually, Domain Identification plays a significant role in Machine Translation, Text Summarization, Question Answering, Information Extraction, and Sentiment Analysis. In this paper, we proposed the Multichannel LSTM-CNN methodology… 
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