The company has developed a search engine and a system for semantic analysis of hotel brands references. The system was integrated into a SaaS solution that enables hotel owners to manage their brand presence in Social Media. It searches for popular sites with customer reviews of hotels, such as booking.com, expedia, hotels.com, tripadvisor, zoover.de, hrs.com and others, as well as for comments in the social networks Facebook and Twitter. The system returns to the sites for updated information on a regular basis. For this purpose we implemented search robots (crawlers). Reviews’ texts are analyzed with the help of a neural network (we applied Apache OpenNLP project) from different perspectives: negative or positive, comments about Wi-Fi, garage or room service and so on. The system composes a hotels’ rating on the basis of the obtained information and allows the owners to review feedbacks collected from various sources and compare the ratings. All these helps them to come up with new ideas for service quality improvements.
Java, IceFaces, Vaadin, MongoDB, Twitter/Facebook API, Spring (IoC, AoP, Batch), JUnit, Mockito, Apache Tomcat, Eclipse, Git, Maven, Ant, Gerrit (system for code review), Jenkins, Nexus, Apache OpenNLP, shell scripts, Web Driver (UI-tests), Quartz, RegExp.
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