  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 for Technical Domain Identification for
Telugu. This architecture was used and evaluated in the context of the ICON
shared task TechDOfication 2020 (task h), and our system got 69.9% of the F1
score on the test dataset and 90.01% on the validation set.
