Deep Structured Learning for Natural Language Processing

Author(s):  
Yong Li ◽  
Xiaojun Yang ◽  
Min Zuo ◽  
Qingyu Jin ◽  
Haisheng Li ◽  
...  

The real-time and dissemination characteristics of network information make net-mediated public opinion become more and more important food safety early warning resources, but the data of petabyte (PB) scale growth also bring great difficulties to the research and judgment of network public opinion, especially how to extract the event role of network public opinion from these data and analyze the sentiment tendency of public opinion comment. First, this article takes the public opinion of food safety network as the research point, and a BLSTM-CRF model for automatically marking the role of event is proposed by combining BLSTM and conditional random field organically. Second, the Attention mechanism based on vocabulary in the field of food safety is introduced, the distance-related sequence semantic features are extracted by BLSTM, and the emotional classification of sequence semantic features is realized by using CNN. A kind of Att-BLSTM-CNN model for the analysis of public opinion and emotional tendency in the field of food safety is proposed. Finally, based on the time series, this article combines the role extraction of food safety events and the analysis of emotional tendency and constructs a net-mediated public opinion early warning model in the field of food safety according to the heat of the event and the emotional intensity of the public to food safety public opinion events.

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Yichu Wang

In the rapid development of science and technology, the Internet has been widely used in the daily life and work of people, which has greatly changed the way people live and work. At this stage, people regard the Internet as the main way to obtain news information, and they have supervised the news contents [1]. Based on this, the article expounds the relevant content of network public opinion, analyzes the role of network public opinion in the public management of Chinese government, and studies the influence of public opinion on the public management of Chinese government.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zi Li

Public policy and public opinion directly affect the image of the government, but due to the lack of appropriate monitoring and early warning tools, the government’s handling of credit changes is seriously lagging behind. In response to this problem, this paper integrates the internet, public information, market credit information, and other data, uses hidden Markov models and natural language processing technology, and establishes a modern government public policy and public opinion monitoring and early warning model to evaluate government credit in real time; the government can formulate relevant policies based on the evaluation results to improve the government’s governance capabilities. Empirical analysis shows that, based on the dynamic scoring framework and Markov model, the government credit monitoring and early warning models established, respectively, have 90% of the reference value, and the analysis results have the same reference. This method can effectively predict the trend of hot online public opinion. The subsequent establishment of an online public opinion early warning system and an online public opinion guidance mechanism provided theoretical support.


Author(s):  
Piers Robinson

This chapter examines the relevance of media and public opinion to our understanding of foreign policy and international politics. It first considers whether public opinion influences foreign policy formulation, as argued by the pluralist model, or whether the public are politically impotent, as argued by the elite model. It then explores whether the media can influence foreign policy formulation, as argued by the pluralist model, or whether the media are fundamentally subservient to the foreign policy process, as argued by the elite model. It also integrates these competing arguments with theoretical frames used in the study of international relations: namely, realism, liberalism, and critical approaches (including constructivism and post-structuralism). The chapter concludes by discussing contemporary debates concerning organized persuasive communication and the ‘war on terror’.


Author(s):  
Mohamad Saifudin Mohamad Saleh ◽  
Harald Heinrichs ◽  
Nik Norma Nik Hasan

This paper provides a discussion on the perception of Malaysian media and environmental non-governmental organisations (ENGOs) on the role of images in shaping the public's mind about environmental matters. Two methods were employed for this study. First, a total of 24 participants from the Malaysian media and ENGOs were interviewed. Second, a total of 2,050 environmental articles on media newspapers and ENGOs newsletters from the period of 2012 to 2014 were collected for the quantitative content analysis. The findings from interview confirmed that pictures were labelled by journalists and ENGOs staff as the most important tool in presenting the reality of the environmental problems to the public. This is because, upon seeing the pictures accompanying environmental articles, readers will gain more trust of the environmental information. This was in harmony with the results of the quantitative content analysis, where more than 60% of pictures were found on environmental articles.


Author(s):  
Yong Li ◽  
Qingyu Jin ◽  
Min Zuo ◽  
Haisheng Li ◽  
Xiaojun Yang ◽  
...  

Sentiment analysis becomes one of the most active research hotspots in the field of natural language processing tasks in recent years. However, the inability to fully and effectively use emotional information is a problem in present deep learning models. A single Chinese character has different meanings in different words, and the character embeddings are combined with the word embeddings to extract more precise meaning information. In this paper, a single Chinese character and word are used as input units to train. Based on BLSTM, the attention mechanism based on vocabulary semantics in food field is introduced to realize distance-related sequence semantic feature extraction. CNN is used to realize semantic sentiment classification of sequence semantic features. Therefore, a model based on multi-neural network for sentiment information extraction and analysis is proposed. Experiments show that the model has excellent characteristics in sentiment analysis and obtains high accuracy and F value.


2019 ◽  
Vol 32 (3) ◽  
pp. 569-585
Author(s):  
Oren Soffer ◽  
Galit Gordoni

Abstract This article examines how user comments influence assessment of public opinion climate and perceived support for one’s opinion. The effects of user-comment sentiment (positive vs. negative) and of user-comment content (with or without personal exemplification) were tested with an online experiment (n = 1,510). Results show that user-comment effects on estimates of public opinion depend mainly on the sentiment of the comments and not on their framing as opinions with or without personal exemplification. Negative comments significantly reduce readers’ estimation of public opinion support of the issue dealt with by the article and affect the perceived support of one’s opinion. Study results refer to the possible dangers in user comments deliberate manipulation in democratic public discussion.


2019 ◽  
Vol 5 (2) ◽  
pp. 216-257
Author(s):  
Fahad Hashmi

Considering the role played by Rashtria Sahara, an Urdu daily newspaper that took recourse to the democratic practice of questioning and challenging the hegemonic formation of the maligned image of Islam and the faith community vis-à-vis terrorism in the discursive arena, that is, the public sphere, this article tries to understand the role of the Urdu language media in shaping the public opinion and mobilising people from within the community. To this end, first, the article seeks to comprehend the present configuration of the Indian public sphere keeping in view its colonial origin. Moreover, the ‘othering’ of Muslims in postcolonial India that has colonial roots, too, has been understood through the idea of ‘interior frontiers’. Second, the role and practices of the Indian state towards Muslims have been taken into account. And, the final section analyses strategies that were put to use by the newspaper to contest the hegemonic formation, which paved the way for social movement to emerge.


2020 ◽  
pp. 15-19
Author(s):  
N.I. Rodzinskyi ◽  
D.S. Savchenko ◽  
M.H. Khaustova

The article is devoted to the problematic form and pressure of the public opinion. Basic attention is the theoretical aspects of understanding of public opinion as the legal and social phenomenon, as exactly due to a presence or absence of foregoing institute of civil society it is possible to talk about the state and level of democratization of society, taking into account active introduction of processes that provide access and participation of citizens in life of the state. A self concept «public opinion» though has the generalized interpretation and interpretation in a modern kind, however during all way of forming tested quite a bit transformations and modifications. The presence of different conceptions to understanding of the phenomenon of public opinion is first of all explained variety of looks to influence of actors on the origin of public opinion. Scientists in the doctrine of sociology and legal sciences examine public opinion as phenomenon of mass consciousness that has elemental character, a social institute, a social regulator, that brings in the effective contribution to the decisions of question, that touch activity of the state. For today three basic going was formed near understanding of public opinion as social and legal phenomenon – morally-normative that was based on public publicity and openness, approach, that was based not on subject composition, but on thematic, denying here influence of mass character on the process of forming of public opinion and approach demoscopy is fixed in basis of that – research the key aspect of that is realization of analysis of public opinion on the basis of quantitative data. The classic going near understanding of public opinion from the point of view of her nature is conception of V. Lipman, in basis of that influence of environment of existence of individual is fixed on the process of forming of public opinion. In this theory attention is accented on that a human is clearly limited to in informative space the capacity for perception of information, and that is why can not grasp her fully, however this factor plays role of positive factor of forming of public opinion, as it gives an opportunity more deep knowledge in certain industry, creating more organized public opinion that does not limit opinion of every individual here. As well as on any institute of direct democracy on public opinion certain functions – expressive, consultative, directive functions. Due to realization of foregoing functions public opinion there is cooperating of public with organs by the state of power, that it is counted on formation of original symbiosis, the aim of that is creation of positive terms for life of citizens, increase of level of democratization in society, to improve quality and efficiency of realization of the functions fixed on them power within the framework of legislation.


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