Archive for February, 2014


LogoI’ve been invited to write a few words about a Chrome Extension I’ve made that uses the Semantria API to analyze sentiment on any webpage on-the-fly. It’s a simple extension where, once installed, you’ll be able to highlight any text on any page and extract all the Entities, Themes, Phrases, Topics and the Sentiment Score related to the whole text or for each Entity, Theme, Phrase or Topic found. I’d like to thank Wilson and the Semantria guys for this opportunity.

Building a sentiment analysis extension was a New Year challenge. I was encouraged to begin researching Sentiment Analysis, and how it could be beneficial to my company. In short, I wanted to find the what, the how, and the tools.I started gathering and studying various theses and articles about this subject. I then went about finding the main tools in this area. While I found a lot of them, Semantria was one of the first tools I found and impressed me a lot. It has an easy to use REST API and covered a lot of topics in the field of Machine Learning. Keep Reading →

Integration Cookbook Final

Hey everyone, thanks for tuning in for the last five weeks as I detailed my experiences integrating different sentiment analysis APIs. To close off, I wanted to quickly summarize my overall impressions and final thoughts on each API. Keep Reading →

Integration Cookbook Bitext

Hey everyone, this week’s integration showcase is Bitext and this will be the last of the five sentiment analysis APIs that I’ll be writing about. The previous ones I’ve covered were Viralheat, Chatterbox, Semantria, and AlchemyAPI. For one last time, I will try to be as objective as possible and highlight all aspects of the integration from my personal experience.

Bitext

Bitext is another text analytics solution that offers a sentiment analysis API. The Bitext API doesn’t fall under the conventional definition of an ‘API’, because the exposed end-points don’t follow REST or any other API principles. Instead they utilize web forms built on an ASP.NET platform. Technically, to access their services, a user just needs to make a POST (submit) request to a remote form, which in turn responds with analysis results.

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Integration Cookbook Viralheat

Hey everyone, thanks for continuing to read my coverage on integration. This week is Viralheat’s turn in the spotlight. In case you missed it, I covered Chatterbox, Semantria, and AlchemyAPI in my last posts. Go check them out if you’re interested. Once again, I will try to be as objective as possible and highlight all aspects of the integration from my personal experience.

Viralheat

Viralheat’s main business is in social media marketing, however along with their main product, Viralheat offers several APIs for 3rd party integrators. For this project I used their sentiment API (https://app.viralheat.com/developer/sentiment).

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