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SENTIMENT ANALYSIS

The Power of Text Mining
Analyze positive and negative mentions in hundreds of key concepts and 16 languages to help prioritise operational and service improvements to deliver better guest experiences and exceed expectations.

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HOW IT WORKS

Hundreds of thousands of new reviews are analysed daily organising concepts into 26 standard categories from a dictionary of 475+ hospitality related concepts allowing you to gain detailed competitive insight and identify strengths and weaknesses, compared to your direct competitors.

1

The full text of a guest comment, either from an online review or a survey response, is analyzed.

Leverage online reviews to increase revenue

2

The text is scanned for meaningful concepts, and snippets of text are extracted where these concepts exist. We pick out the aspects related to hospitality as determined by our dictionaries and relate them to a defined concept.

3

Once the concepts have been identified, the surrounding text is evaluated for sentiment. When positive or negative sentiment exists, we record it as a positive or negative mention.

55,000+ clients, including hotel chains, individual hotels, serviced apartments, restaurants, destinations and hostels, in more than 150 countries

  • Kempinski Hotels
  • Red Lion
  • Radisson Hotel Group
  • Melia
  • Ascott
  • Minor