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Found 8 papers, 2 papers with code
Machine learning for assessing quality of service in the hospitality sector based on customer reviews
Customer reviews can be used to automatically extract the most relevant aspects of the quality of service for hospitality clientele.
Towards robust and speculation-reduction real estate pricing models based on a data-driven strategy
In many countries, real estate appraisal is based on conventional methods that rely on appraisers' abilities to collect data, interpret it and model the price of a real estate property.
Learning from students' perception on professors through opinion mining
Students' perception of classes measured through their opinions on teaching surveys allows to identify deficiencies and problems, both in the environment and in the learning methodologies.
Event detection in Colombian security Twitter news using fine-grained latent topic analysis
Our method is able to discover event-specific sets of news, which is the baseline to perform an extensive analysis of how people engage in Twitter threads on the different types of news, with an emphasis on security, violence and crime-related tweets.
A model for predicting price polarity of real estate properties using information of real estate market websites
Results show that the accuracy of a classifier that involves text descriptions is slightly higher than a classifier that only uses features of the real estate properties, as text descriptions tends to contain detailed information about the property.
Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning Technique
Colombia has a diversity of genres in traditional music, which allows to express the richness of the Colombian culture according to the region.
BIG-bench Machine Learning
Cultural Vocal Bursts Intensity Prediction
Using machine learning and information visualisation for discovering latent topics in Twitter news
We propose a method to discover latent topics and visualise large collections of tweets for easy identification and interpretation of topics, and exemplify its use with tweets from a Colombian mass media giant in the period 2014--2019.
Predicting city safety perception based on visual image content
Safety perception measurement has been a subject of interest in many cities of the world.
