It is difficult to act in time when negative articles or comments about your company are posted online. Ciphix offers an AI solution. The Social Monitoring procedure analyzes the sentiment of sources such as blogs, news articles or platforms of certain sectors, generated by a Google Search. The result is summarized in a report containing the source URLs and webpage-sentiment scores.
The Relationship Management department of an unemployment benefits foundation tries to identify negative articles or comment threads about its foundation. Citizens make requests for additional unemployment benefits at the foundation. Granting a request follows a certain procedure. Not everyone is eligible for additional unemployment benefits. In addition, people think the process is rather difficult. This raises questions and sometimes even discontent. People often express their feelings about this process on the internet through news articles, social media platforms or blogs. There are plenty of positive comments about the foundation, but there are some negative articles as well. Unfortunately, not all buzz on the internet is positive. Not identifying these negative articles may results in negative escalation. As a result, it is hard for the foundation to give the complainants the support they need and thereby improve their own image.
Identifying negative comments in sources such as blogs or news articles is a repetitive and time consuming task. It is also difficult to act in time to resolve conflicts, as the process of identifying negative comment threads is slow. For this reason, we implemented an AI solution called Social Monitoring procedure. This procedure automatically analyzes the sentiment of sources such as blogs, news articles or platforms of certain sectors, generated by a Google Search.
Of effort automated
Weeks to implementation
Average processing time (min)