Topic Discovery

The text mining techniques allows to capture and understand people thoughts, opinions and preferences on social networks and web with respect to a certain discussed topic.

In particular, by means of the Topic Discovery analysis it is possible to understand the most discussed topics of some complex textual data. This allows also to capture the underlying justification to the sentiment and NPS evolutions over time, and to perform various types of cross-analysis.

Project Details

Category: Topic Discovery
Sector: Media & News
Period of analysis: 1 January - 15 February
Total analysed mentions: 16.000
Sources: Facebook

The General View shows the estimated aggregate percentage of discussion for each topic that has been identified as being “trendy”.

The vast majority of posts discussed of Media & Show, while just a relative small portion of comments talked about Health.

The Daily View instead allows to see how each trending topic varies with time, revealing possible interesting trends.

It is usually of interest to analyse deeper the different topic paths using a qualitative peak-and-trough analysis. This specific analysis helps to reveal the highs and donws of each topic evolution.


Recent Analysis