Classification of Malayalam-English Mix-Code Comments using Current State of Art

Kazhuparambil, Subramaniam; Kaushik, Abhishek

doi:10.1109/inocon50539.2020.9298382

Cited by 4 publications

(1 citation statement)

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“…The dataset was constructed by scraping YouTube comments left by users on 16 YouTube videos that were relevant to our study [168][169][170][171][172]. The videos were selected by searching the relevant keywords, such as 'smart farming IoT', and then filtering the ones with most views and comments.…”

Section: Datasetmentioning

confidence: 99%

Disruptive Technologies in Smart Farming: An Expanded View with Sentiment Analysis

Yadav

Kaushik

Sharma³

et al. 2022

AgriEngineering

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Smart Farming (SF) is an emerging technology in the current agricultural landscape. The aim of Smart Farming is to provide tools for various agricultural and farming operations to improve yield by reducing cost, waste, and required manpower. SF is a data-driven approach that can mitigate losses that occur due to extreme weather conditions and calamities. The influx of data from various sensors, and the introduction of information communication technologies (ICTs) in the field of farming has accelerated the implementation of disruptive technologies (DTs) such as machine learning and big data. Application of these predictive and innovative tools in agriculture is crucial for handling unprecedented conditions such as climate change and the increasing global population. In this study, we review the recent advancements in the field of Smart Farming, which include novel use cases and projects around the globe. An overview of the challenges associated with the adoption of such technologies in their respective regions is also provided. A brief analysis of the general sentiment towards Smart Farming technologies is also performed by manually annotating YouTube comments and making use of the pattern library. Preliminary findings of our study indicate that, though there are several barriers to the implementation of SF tools, further research and innovation can alleviate such risks and ensure sustainability of the food supply. The exploratory sentiment analysis also suggests that most digital users are not well-informed about such technologies.

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