CEMS - Content Event Management System

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CEMS - Social Listening System

CEMS collects, synthesizes and analyzes information sources

Subscribe to electronic news, social networking sites, websites that interest you

The system automatically identifies the number of newly published articles from each monitored website at the time of analysis. It archives all article URLs along with summaries and full content. New posts are categorized and displayed based on website type and content category within a selected timeframe. Users are able to access and review the details of each newly detected article.

Search articles by keyword, keyword topic

The CEMS software supports article searches on aggregator websites. This tool allows users to verify whether specific articles appear on these platforms, serving the purpose of handling potential violations.

Shared link TOP analysis

The “Top Link Shared” feature enables you to identify the most frequently shared content within a customizable time range.

Tracking widely circulated articles allows you to stay updated with trending topics and key discussions referenced across various sources. This insight can serve multiple purposes, from shaping business strategies to verifying intellectual property usage.

By integrating machine learning techniques with optimized search methods, this tool ensures high accuracy and rapid processing when locating top-shared links.

Extensive coverage: Our solution doesn’t just focus on online news outlets—it also includes shared content from Facebook posts, offering a broader and more comprehensive analysis.

Statistical reports over time

In addition to the above functions, CEMS also supports statistical reports according to user requirements. Statistical reporting is a necessary and very important need, helping users have a comprehensive and comprehensive view of websites and content of articles on social networks. From there, it is possible to evaluate the effectiveness of the monitoring and analysis of content on the website. Besides, the system also supports exporting reports to PDF files to serve data statement easily.

Identify the source, verify the news article

The software provides comprehensive details of each article, including the headline, URL, and a brief summary. Users can review the full content, and if they identify a potential violation, they can initiate a report for further evaluation. The review process involves multiple levels, starting from specialists, moving through team leaders, and up to department heads, with collaboration across different units.

The system is equipped with a range of helpful features for assessing potentially infringing content, such as a screenshot capture tool, a verification feature for checking the credibility of information, and an automated email reminder function.

The verification tool cross-references news or articles found on e-commerce platforms with content from official news outlets (highlighting excerpts of the material requiring validation to assess source clarity). Additionally, it detects whether the original information has been taken down from the official source, while remaining quoted or shared on other online platforms, prompting follow-up action when necessary.

Analyze TOP keywords, featured topics

A standout keyword or phrase is one that carries notable significance or is deliberately emphasized by the author. When such terms recur throughout content, it signals growing public attention and is recognized as a trending keyword. Identifying these trends offers insight into societal interests, supporting strategic decisions in economic and political fields.

In today’s digital era, the explosion of content from online news and social platforms results in a vast influx of data each day. Manually pinpointing key terms or trending topics amid this volume is nearly impossible. To address this, we’ve developed the “Hot Keyword Analysis” feature, powered by advanced machine learning algorithms.

Precision & Performance: “Hot Keyword Analysis” helps uncover high-interest keywords, related groups, and emerging themes over time. Leveraging machine learning, the system efficiently extracts and analyzes key terms with exceptional accuracy.

User-Centric Flexibility: Users can specify custom timeframes for keyword tracking. The platform then automatically identifies significant terms and topics within that period. This customizable capability offers a competitive edge that few existing tools can match.

Analysis and evaluation to measure the level of satisfaction

By inputting a review or comment, CEMS applies advanced machine learning techniques to analyze and assess customer satisfaction levels.

Understanding user feedback is essential. It not only helps businesses enhance brand reputation but also identifies aspects of the product that do not meet expectations, allowing timely improvements to better align with customer needs.

This feature integrates machine learning models with a Vietnamese sentiment dictionary specifically built for satisfaction analysis, ensuring highly accurate results. It streamlines the feedback evaluation process, saving time and resources, while significantly improving work efficiency—especially valuable in e-commerce and online product sales.