Abstract
The influence of online public opinion on agricultural product safety on the society is increasing. In order to correctly guide the direction of online public opinion on agricultural products, help the agricultural sector turn from passive to active public opinion, timely prevent the spread of negative public opinion, and reduce the negative impact on public opinion hot events, it is especially important to improve the ability of monitoring agricultural products’ network public opinion. This research is based on big data technology to develop an agricultural products’ network public opinion monitoring system that can collect, process, and analyze data in real time, discover and track hot topics, and calculate and visualize the polarity of public sentiment. The use of big data technology to increase the processing speed aims to strengthen the public’s supervision of the public opinion on the network security of agricultural products and provide an effective basis of the decision-making of relevant departments.
Highlights
Solving the quality and safety of agricultural products is to better improve and protect people’s livelihood. e quality of agricultural products will be quickly spread through various media and social networks. e Internet has almost become the main channel of information dissemination. e risk of public opinion on the quality and safety of agricultural products is generally caused by negative public opinion. e transmission and dissemination of various emotions, attitudes, and opinions on the quality and safety of agricultural products by netizens through the Internet will reduce the efficiency of the government’s emergency response, reduce the government’s credibility, mislead the public’s perceptions, and causepotentialdangers such as chaotic socio-economic order [1]
Experimental comparison shows that word2vec has a stronger expression of text semantics and, at the same time, solves the high-dimensional sparse problem of tfidf and bow vectors, and bow text vectors perform poorly
Aiming at the analysis of agricultural product network public opinion information and the large amount of information on the Internet, this paper proposes the design and implementation of a platform for agricultural public
Summary
Solving the quality and safety of agricultural products is to better improve and protect people’s livelihood. e quality of agricultural products will be quickly spread through various media and social networks. e Internet has almost become the main channel of information dissemination. e risk of public opinion on the quality and safety of agricultural products is generally caused by negative public opinion. e transmission and dissemination of various emotions, attitudes, and opinions on the quality and safety of agricultural products by netizens through the Internet will reduce the efficiency of the government’s emergency response, reduce the government’s credibility, mislead the public’s perceptions, and causepotentialdangers such as chaotic socio-economic order [1]. Calculate the word vectored through word2vec, and perform natural language processing, text classification, and text clustering on the captured information on topic recognition and tracking and sentiment judgment of public opinion. E word2vec algorithm obtains a fixed-dimensional word vector through the training of the text set. With the increase of sentiment annotation data, the sentiment judgment of public opinion information is realized by constructing a text sentiment classification model. E system can collect large-scale data, expand collection sites flexibly, perform preliminary natural language processing on the collected data in real time and import it into the database.It realizes the recognition and tracking of public opinion topics, realizes the early warning of public opinion information based on emotional polarity calculation and keyword monitoring, and visually displays the data Transition dictionary: return, but, instead, but, and yet Degree adverb dictionary: 100%, extreme, absolute, extremely, very, Degree adverb dictionary: 100%, extreme, absolute, extremely, very, especially, almost, slightly, extra, more, more, a little, a little, too, especially, almost, slightly, extra, more, more, a little, a little, too, especially, and very especially, and very opinion data collection and monitoring system based on big data technology. e system can collect large-scale data, expand collection sites flexibly, perform preliminary natural language processing on the collected data in real time and import it into the database.It realizes the recognition and tracking of public opinion topics, realizes the early warning of public opinion information based on emotional polarity calculation and keyword monitoring, and visually displays the data
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