@inproceedings{sukumar-etal-2021-text,
title = "Text Based Smart Answering System in Agriculture using {RNN}",
author = "Sukumar, Raji and
N, Hemalatha and
S, Sarin and
C A, Rose Mary",
editor = "Bandyopadhyay, Sivaji and
Devi, Sobha Lalitha and
Bhattacharyya, Pushpak",
booktitle = "Proceedings of the 18th International Conference on Natural Language Processing (ICON)",
month = dec,
year = "2021",
address = "National Institute of Technology Silchar, Silchar, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2021.icon-main.83",
pages = "663--669",
abstract = "Agriculture is an important aspect of India{'}s economy, and the country currently has one of the highest rates of farm producers in the world. Farmers need hand holding with support of technology. A chatbot is a tool or assistant that you may communicate with via instant messages. The goal of this project is to create a Chatbot that uses Natural Language Processing with a Deep Learning model. In this project we have tried implementing Multi-Layer Perceptron model and Recurrent Neural Network models on the dataset. The accuracy given by RNN was 97.83{\%}.",
}
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<abstract>Agriculture is an important aspect of India’s economy, and the country currently has one of the highest rates of farm producers in the world. Farmers need hand holding with support of technology. A chatbot is a tool or assistant that you may communicate with via instant messages. The goal of this project is to create a Chatbot that uses Natural Language Processing with a Deep Learning model. In this project we have tried implementing Multi-Layer Perceptron model and Recurrent Neural Network models on the dataset. The accuracy given by RNN was 97.83%.</abstract>
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%0 Conference Proceedings
%T Text Based Smart Answering System in Agriculture using RNN
%A Sukumar, Raji
%A N, Hemalatha
%A S, Sarin
%A C A, Rose Mary
%Y Bandyopadhyay, Sivaji
%Y Devi, Sobha Lalitha
%Y Bhattacharyya, Pushpak
%S Proceedings of the 18th International Conference on Natural Language Processing (ICON)
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C National Institute of Technology Silchar, Silchar, India
%F sukumar-etal-2021-text
%X Agriculture is an important aspect of India’s economy, and the country currently has one of the highest rates of farm producers in the world. Farmers need hand holding with support of technology. A chatbot is a tool or assistant that you may communicate with via instant messages. The goal of this project is to create a Chatbot that uses Natural Language Processing with a Deep Learning model. In this project we have tried implementing Multi-Layer Perceptron model and Recurrent Neural Network models on the dataset. The accuracy given by RNN was 97.83%.
%U https://aclanthology.org/2021.icon-main.83
%P 663-669
Markdown (Informal)
[Text Based Smart Answering System in Agriculture using RNN](https://aclanthology.org/2021.icon-main.83) (Sukumar et al., ICON 2021)
ACL
- Raji Sukumar, Hemalatha N, Sarin S, and Rose Mary C A. 2021. Text Based Smart Answering System in Agriculture using RNN. In Proceedings of the 18th International Conference on Natural Language Processing (ICON), pages 663–669, National Institute of Technology Silchar, Silchar, India. NLP Association of India (NLPAI).