Salamanders's project

The objective was to create an interactive map with reviews's key words and environnement's information.

We read all the reviews of Montreal city, and we ran text analysis(text mining) and retrieved most frequent words people used in their reviews.

Most obvious challenges is definitely time, producing MVP within this short time slot. Another challenges we faces to reading data from database in elasticsearch.

We found most frequent words people used in their reviews in montreal city and from them we can assume their review writings behaviour.

We learn lots of things including, new data analysis technique, i.e. elasticsearch, logstash, kibana, r language, and data visualization with D3.js

We have plan for summaries most frequent words for all cities based on time span, and we will visualize data on map based on time travel

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