Sentiment Analysis on Hydroponic Technology Application for Urban Farming Limitations

Victor Q. Parillas, Jocelyn M. Beriña, Evelyn M. Baesa, Edralin R. Raro, T. Palaoag
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Abstract

The world is undergoing rapid change due to current events. The internet has become a fundamental necessity for everyone, with Web use in virtually every area. With the growth of social networking, people use these platforms to express their views on daily topics. Hydroponics can help urban agriculture operations when residents have limited land. Despite the benefits of a hydroponic technology, it is not widely used, even in urban areas. The researchers used Twitter to analyze hydroponic farmers’ product sentiment. The data was gathered and evaluated using qualitative research methods and sentiment analysis. The tweets were gathered using the Tweepy Module and the keyword hydroponics. The gathered English tweets underwent tokenization, filtering, standardization, and segmentation. Valence Aware Dictionary for Sentiment Reasoning (VADER) was used to categorize the corpus. After scraping 6429 tweets, 5181 cleaned tweets were categorized as positive, negative, or neutral. Researchers used a pie chart and violin plot for output. Five hundred fifty-three tweets are negative, 2922 are positive, and 1706 are neutral. This result showed 56% liked hydroponic technology. 33% of neutrals liked hydroponics, while 11% disliked it. The hydroponic system has several advantages over conventional farming and some disadvantages. It is recommended that modern farmers be given hydroponic technology application awareness programs to maximize their benefits. Additional studies on hydroponic applications in different agricultural settings and crops are also needed to improve the technology’s success rate.
水培技术在城市农业中应用的局限性情感分析
由于当前发生的事件,世界正在经历快速变化。互联网已经成为每个人的基本必需品,几乎在每个领域都有网络的使用。随着社交网络的发展,人们使用这些平台来表达他们对日常话题的看法。当居民土地有限时,水培法可以帮助城市农业运作。尽管水培技术有很多好处,但它并没有被广泛使用,即使在城市地区也是如此。研究人员使用Twitter来分析水培农民对产品的看法。数据收集和评估使用定性研究方法和情绪分析。这些推文是用微博模块和关键词水培法收集的。收集到的英文推文经过了标记化、过滤、标准化和分割。使用情价感知情感推理词典(VADER)对语料进行分类。在抓取6429条推文后,5181条被清理的推文被分类为积极、消极或中性。研究人员使用饼状图和小提琴图作为输出。553条推文是负面的,2922条是正面的,1706条是中性的。结果显示,56%的人喜欢水培技术。33%的中性人喜欢水培法,11%的人不喜欢。水培系统与传统耕作相比有几个优点,也有一些缺点。建议对现代农民进行水培技术应用意识教育,使其效益最大化。还需要进一步研究水培在不同农业环境和作物中的应用,以提高该技术的成功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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