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Aspect Based Sentiment Analysis for Culinary domain

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##Introduction Absa is an analyser developed for aspects sentiment analysis of restaurant reviews. This is the result of analysis showed on a dashboard based on web components and D3.js. To view your data you can use widgets and visualize it through them.

##Getting Started If you want to easy try Absa, just download this repository (cloning it to your computer or downloading it as a .zip) and open the main folder absa/ in the bash console and run a simple server such as the python one python -m SimpleHTTPServer <port> and open the web browser with localhost:<port> in the url field and explore data.

##Polymer - Web Components Technology Polymer logo

Polymer is a technology based on web components, so we could make a new component with diferent estructures of html, styles with css, and give some dinamic functions using Javascript.

Those components will be reusable only importing the tag <component-tag></component-tag> and they could share information using data binding among them.

##Reviews Data

The data used for the dashboard is the Semeval 2015 ABSA dataset (Task 12) for restaurant domain, available here: http://alt.qcri.org/semeval2015/task12/