In the era of We Media, online public opinion in colleges and universities has become an important front of ideological and political, with some characteristics such as concealment, diversity and sensitivity, interact...In the era of We Media, online public opinion in colleges and universities has become an important front of ideological and political, with some characteristics such as concealment, diversity and sensitivity, interaction and immediacy of communication. It is urgent to carry out some researches about network public opinion analysis and guidance mechanism. It is a new challenge that the ideological and political education in colleges and universities, must face how to guide online public opinion effectively. The team building should be strengthened and the right of public opinion should be returned. The platform construction should be enriched, and it is important to give the chance to various media. Therefore, it should strengthen the mechanism construction, and public opinion guidance must be scientific and professional. Colleges and universities should build a clear network space from such aspects as the construction of network public opinion guidance institutions, the cultivation of opinion leaders, the perfection of early warning mechanism, the improvement of university network literacy and the guidance of campus media.展开更多
With the explosive growth of Internet text information,the task of text classification is more important.As a part of text classification,Chinese news text classification also plays an important role.In public securit...With the explosive growth of Internet text information,the task of text classification is more important.As a part of text classification,Chinese news text classification also plays an important role.In public security work,public opinion news classification is an important topic.Effective and accurate classification of public opinion news is a necessary prerequisite for relevant departments to grasp the situation of public opinion and control the trend of public opinion in time.This paper introduces a combinedconvolutional neural network text classification model based on word2vec and improved TF-IDF:firstly,the word vector is trained through word2vec model,then the weight of each word is calculated by using the improved TFIDF algorithm based on class frequency variance,and the word vector and weight are combined to construct the text vector representation.Finally,the combined-convolutional neural network is used to train and test the Thucnews data set.The results show that the classification effect of this model is better than the traditional Text-RNN model,the traditional Text-CNN model and word2vec-CNN model.The test accuracy is 97.56%,the accuracy rate is 97%,the recall rate is 97%,and the F1-score is 97%.展开更多
[目的/意义]网络舆情治理关乎社会稳定和发展。新媒体环境的形成使得网络舆情变得更加复杂,大数据特征更加突出。因此,研究新媒体环境下网络舆情治理的大数据能力建设更加迫切。[方法/过程]通过对CNKI、万方、维普、百度学术、Web of Sc...[目的/意义]网络舆情治理关乎社会稳定和发展。新媒体环境的形成使得网络舆情变得更加复杂,大数据特征更加突出。因此,研究新媒体环境下网络舆情治理的大数据能力建设更加迫切。[方法/过程]通过对CNKI、万方、维普、百度学术、Web of Science、Emerald管理学期刊库和Springer Link进行相关研究检索,主要采用文献研究法,在对相关概念进行辨析后,探讨新媒体环境下网络舆情的新特点及建设大数据能力的必要性,最后提出建设新媒体环境下网络舆情治理大数据能力的思路。[结果/结论]发现网络舆情的大数据特征,如高增长、大规模在新媒体环境下得到加强,而且呈现出价值密度低、对抗性明显的新特点。并从舆情治理思维、舆情处理技术、人才培养体系以及舆情应急管理体系4个方面对大数据能力建设做了初步探讨,以期为相关研究提供借鉴,希冀助力网络舆情治理实践。展开更多
文摘In the era of We Media, online public opinion in colleges and universities has become an important front of ideological and political, with some characteristics such as concealment, diversity and sensitivity, interaction and immediacy of communication. It is urgent to carry out some researches about network public opinion analysis and guidance mechanism. It is a new challenge that the ideological and political education in colleges and universities, must face how to guide online public opinion effectively. The team building should be strengthened and the right of public opinion should be returned. The platform construction should be enriched, and it is important to give the chance to various media. Therefore, it should strengthen the mechanism construction, and public opinion guidance must be scientific and professional. Colleges and universities should build a clear network space from such aspects as the construction of network public opinion guidance institutions, the cultivation of opinion leaders, the perfection of early warning mechanism, the improvement of university network literacy and the guidance of campus media.
基金This work was supported by Ministry of public security technology research program[Grant No.2020JSYJC22ok]Fundamental Research Funds for the Central Universities(No.2021JKF215)+1 种基金Open Research Fund of the Public Security Behavioral Science Laboratory,People’s Public Security University of China(2020SYS03)Police and people build/share a smart community(PJ13-201912-0525).
文摘With the explosive growth of Internet text information,the task of text classification is more important.As a part of text classification,Chinese news text classification also plays an important role.In public security work,public opinion news classification is an important topic.Effective and accurate classification of public opinion news is a necessary prerequisite for relevant departments to grasp the situation of public opinion and control the trend of public opinion in time.This paper introduces a combinedconvolutional neural network text classification model based on word2vec and improved TF-IDF:firstly,the word vector is trained through word2vec model,then the weight of each word is calculated by using the improved TFIDF algorithm based on class frequency variance,and the word vector and weight are combined to construct the text vector representation.Finally,the combined-convolutional neural network is used to train and test the Thucnews data set.The results show that the classification effect of this model is better than the traditional Text-RNN model,the traditional Text-CNN model and word2vec-CNN model.The test accuracy is 97.56%,the accuracy rate is 97%,the recall rate is 97%,and the F1-score is 97%.
文摘[目的/意义]网络舆情治理关乎社会稳定和发展。新媒体环境的形成使得网络舆情变得更加复杂,大数据特征更加突出。因此,研究新媒体环境下网络舆情治理的大数据能力建设更加迫切。[方法/过程]通过对CNKI、万方、维普、百度学术、Web of Science、Emerald管理学期刊库和Springer Link进行相关研究检索,主要采用文献研究法,在对相关概念进行辨析后,探讨新媒体环境下网络舆情的新特点及建设大数据能力的必要性,最后提出建设新媒体环境下网络舆情治理大数据能力的思路。[结果/结论]发现网络舆情的大数据特征,如高增长、大规模在新媒体环境下得到加强,而且呈现出价值密度低、对抗性明显的新特点。并从舆情治理思维、舆情处理技术、人才培养体系以及舆情应急管理体系4个方面对大数据能力建设做了初步探讨,以期为相关研究提供借鉴,希冀助力网络舆情治理实践。
