Sentiment Analysis

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 Sentiment Analysis it is possible to interpret peolpe feelings from complex textual data. This way the sentiment is translated to quantitative information that generate useful business insights.

Project Details

Category: Sentiment Analysis
Sector: Fashion
Period of analysis: 1 Year
Total analysed mentions: 17.000
Sources: Twitter, Reddit, Tumbrl, News, Blogs, Forums, Instagram

The General View shows the estimated aggregate level of sentiment of the whole period of analysis.

Although the vast majority of documents were classified as neutral, the positive sentiment has a slightly higher percentage than the negative, implying a fairly good perception, on average on the web, of the Brand.

The Weekly View instead allows to see how the sentiment varies with time, revealing possible interesting trends.

It is usually of interest to analyse deeper the different sentiment paths using a qualitative peak-and-trough analysis. This specific analysis helps to reveal the underlying reasons related to positive and negative opinions.


Recent Analysis