Data clustering is one of the most fundamental components of the machine learning toolkit. Many of these algorithms are easily implemented in Python, making it the go to language for data scientists when implementing canned routines. At the PyData conference last fall, I attended this talk by Leland McInnes & John Healy which introduced the HDBSCAN … Continue reading Automatic Neighborhood Detection
In the spirit of disseminating our latest edition of the manager response to online reviews paper, Alex and I have posted the current manuscript to SSRN for those who are interested. Let us know your thoughts via email. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2831402 Abstract: This manuscript investigates the externalities of managers’ responses (MR) to online reviews on popular travel … Continue reading Revised and Better?
The previous series of blogs documented how causal inference arguments (difference in differences, regression discontinuity design, and natural experiments) are applied in big data settings within the online reviews domain. This domain also happens to be a great setting to quantitatively analyze textual data. We have a corpus of nearly 18 million reviews for hotels … Continue reading Basic text analysis tutorial – string manipulations, basic sentiment analysis
My paper with Alex Chaudhry on management response to online reviews draws heavily upon crawled data from TripAdvisor. We began collecting data looking at Las Vegas hotels, a good starting source for sampling travelers from around the world. Everyone’s been to Vegas, and Vegas guests have been literally everywhere: We created the above plot by plotting … Continue reading Some empirical tidbits from TripAdvisor
Dr. Yang Wang 