ICAR Research Data Repository for Knowledge Management
Topic Modelling for Discovering Themes in the Queries Raised at Farmers’ Call Center
KRISHI: Publication and Data Inventory Repository
View Archive Info| Field | Value | |
| Title |
Topic Modelling for Discovering Themes in the Queries Raised at Farmers’ Call Center
Not Available |
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| Creator |
B.S. Yashavanth
P.D. Sreekanth |
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| Subject |
Topic models; Latent Dirichlet Allocation; Text analysis; Kisan call center
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| Description |
Not Available
Topic modelling has gained prominence in the recent years due to the availability and necessities for the analysis of large volumes of unstructured text data. In agriculture, a huge amount of text data is generated in kisan call centers in the form of queries raised by the farmers. This study attempts to use the Latent Dirichlet Allocation method of topic modelling to discover the hidden topics in the queries raised at kisan call centers of five south Indian states. Through exploratory text analysis, it was found that the most common terms appeared in the query texts are ‘weather’, ‘management’ and ‘market’. The topic modelling lead to identification of 12 topics, out of which the topic ‘pest management in paddy, cotton and chilli’ reported the maximum number of queries. Not Available |
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| Date |
2024-01-04T09:48:08Z
2024-01-04T09:48:08Z 2022-05-04 |
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| Type |
Research Paper
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| Identifier |
Not Available
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/81150 |
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| Language |
English
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| Relation |
Not Available;
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| Publisher |
Not Available
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