Big data sentiment analysis, how to extract sentiment and what kind of tools to use

Methods for analyzing public opinion sentiment

1. Heat analysis method

The heat analysis method is to understand the public's attention and attitude towards a specific topic by counting the number and amount of social discussions on the topic. This method typically uses a variety of data mining tools, such as natural language processing techniques and machine learning algorithms, for quantitative analysis. The advantage of this method is that it can quickly grasp the popularity of the topic, but its limitation is that it cannot directly judge the attitude of the public, and can only be speculated through indirect means.

2. Sentiment analysis

Sentiment analysis is a natural language processing technology that can analyze the emotional tendencies contained in a text by identifying the emotional vocabulary in the text. This method is usually analyzed by analyzing the text sentiment of **report**, social **, Weibo and other channels. The results of sentiment analysis can be easily presented in charts and graphs, giving a visual indication of the public's sentiment tendencies towards the topic.

The advantage of this method is that it allows for a better understanding of the attitudes and emotions of the public, but its limitation is that it can only analyze the text, and if the information involved is **or**, the results of sentiment analysis are affected.

3. Network Investigation Law

Online surveys are a reliable way to understand the public's attitudes and emotions. Surveys can be implemented through questionnaires or social polls. This approach has the advantage of providing a more accurate picture of public attitudes and sentiments, but it has the limitation that sampling errors and sample bias may arise, although these problems can be solved by selecting a more representative sample.

Fourth, expert analysis

Expert analysis is done by asking experts in the relevant field to analyze the topic in order to understand the public's attitudes and emotions towards the topic. This method can usually be carried out in the form of symposia, seminars, etc. The advantage of this method is that the expert has a wealth of knowledge and experience and is able to analyze the information more accurately, but its limitation is that it is easily influenced by the expert method.

5. Public opinion sentiment analysis tools

Taking micro-business intelligence as an example, it is a big data sentiment analysis and network public opinion monitoring platform with independent intellectual property rights, which introduces advanced technologies such as artificial intelligence, natural language processing, data mining and machine learning, which can analyze and mine all kinds of network data in an all-round and multi-dimensional way, and provide diversified data display and analysis services. Through real, comprehensive and rapid sentiment analysis of a wide range of network data, it can help customers realize real-time monitoring and analysis of network public opinion.

First of all, the amount of public opinion in the era of big data is huge, and there are many sources. Public opinion sentiment analysis is difficult to quantify by relying solely on manual data, and the amount of work is large.

Xiying public opinion analysis system can achieve the following functions:

1. It can classify and judge public opinion information (including hot spots, negatives, regions, etc.), timely early warning, scientific analysis (time node analysis, chart analysis, report analysis, etc.) and assist in the establishment of an early warning mechanism to provide a scientific basis for decision-making. It is already the norm for enterprises to purchase public opinion monitoring systems, and the emergence of many public opinion crises will directly affect the image of enterprises, economic interests, product promotion, and so on.

2. The built-in data model knowledge base (data analysis method library) is composed of several mature models (data algorithms) (stability maintenance, public security, environmental protection, transportation, medical care, education, health, etc.) and technical documents, and can be spliced and integrated into models, introduced and seamlessly referenced to each other.

3. Real-time display of analysis engine domain, attributes, projects, logs, warehousing and statistical chart information, abnormal situation system to send warnings. Real-time display of detailed system running logs, including task running time, text processing time, storage status, knowledge base matching, engine database status, etc.

The methods of network public opinion guidance and analysis in the era of big data are as follows:

1. Through the relevant sample database, match the template of the web page that needs to be monitored and set it as the monitoring data source;

Second, the application of crawler to capture data, store it locally, and then carry out data purification and brief analysis;

3. Use simple chart templates and text descriptions to present the results of monitoring and analysis. There are some inherent problems in the early online public opinion guidance and monitoring methods, such as: first, due to the limited processing capacity, only part of the samples can be taken for monitoring, and accidental errors cannot be avoided; Second, the accuracy of the text analysis algorithm, the degree of matching between the monitoring object and the system template, the purification of the data, and the analysis algorithm have a decisive impact on the accuracy of the final monitoring results, and systematic errors cannot be avoided.

Fourth, the main body of public opinion guidance and analysis should learn to make full use of the big data mining system, the big data public opinion monitoring and management system in the antfang software, from the collection and extraction of network public opinion information, to the discovery and tracking of topics, the analysis of attitude tendencies, and then to the generation of automatic summary of multiple documents, which provides an effective method for the acquisition and analysis of public opinion information for the security assessment of network public opinion. However, because "public opinion" itself has "social" characteristics, the entities behind information such as numbers and ** are the vast number of sentient beings living in the real society. In addition to the quantitative investigation of public opinion from a purely technical perspective, the traditional social opinion survey method is also helpful to achieve a comprehensive, three-dimensional and dynamic dialysis of social comprehensive public opinion.

Data analysis - The core of data is to discover value, and the core of data control is analysis, which is the most critical part of big data practice research, especially for traditional unstructured data. Operators can use their advantages in operating network platforms to develop the application of big data in network optimization, which can improve the influence of operators among enterprises and individual users.

With the help of a professional public opinion analysis system platform, such as micro-business information:

1.Automatic identification of key, sensitive, negative and other information2.Comprehensive and comprehensive analysis

It can support the automatic mining of **, **, key communication nodes and communication traceability in the process of public opinion dissemination, and analyze the communication volume and netizens' emotional attitudes, so as to facilitate grasping the context of public opinion development and making effective progress.

3.Statistical analysis reports are automatically generated