Practical application of Golang in public opinion monitoring and analysis

In public opinion monitoring and analysis, the application of Golang is mainly reflected in: Data collection: collecting data from a variety of online sources. Data Cleansing: Remove redundant and erroneous data. Analysis: Use machine learning algorithms for sentiment analysis and topic extraction to identify key influencers. Visualization: Create charts and dashboards to display analysis results. Advantages include concurrent processing, high efficiency, and scalability.

Practical application of Golang in public opinion monitoring and analysis

Introduction

Golang is a popular high-level programming language known for its concurrency and efficiency. It is widely used in the field of public opinion monitoring and analysis because it can process large amounts of data simultaneously and provide real-time analysis.

Infrastructure

A typical Golang public opinion monitoring and analysis system includes the following components:

• Data collector: from social media, News websites and other online sources collect data.
• Data Cleaner: Remove duplicate and redundant data and correct formatting errors.
• Analyzer: Uses machine learning algorithms and rules engines for sentiment analysis, topic extraction and key influencer identification.
• Visualization tools: Provide interactive charts and dashboards to display analysis results.

Practical case

The following is a practical case using Golang to build a public opinion monitoring and analysis system:

• Data collector : Use Twitter API to query specific keywords and collect tweets.
• Data Cleaner: Use regular expressions to filter spam and duplicate tweets and extract tweet content, author and timestamp.
• Analyzer: Use sentiment analysis algorithms such as VADER to determine the sentiment of tweets and use topic models to extract main topics.
• Visualization Tools: Use Plotly to create charts and dashboards that showcase sentiment trends, topic distribution, and key influencers.

Implementation

The following are the key steps to use Golang to implement a public opinion monitoring and analysis system:

1. Set up the infrastructure, including Data acquisition, data cleaning and analysis components.
2. Integrate machine learning algorithms for sentiment analysis and topic extraction.
3. Create interactive visualization tools to display analysis results.
4. Continuously monitor and adjust the system to improve accuracy and robustness.

Advantages

Using Golang for public opinion monitoring and analysis has the following advantages:

• Concurrent processing: Golang’s concurrency nature enables it to process large amounts of data simultaneously, thereby increasing the speed of analysis.
• High efficiency: Golang is a compiled language, so it has high execution efficiency and is suitable for processing large data sets.
• Scalability: Golang code is easy to extend and maintain, and new features can be easily added as application needs grow.

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