The main motive of using sentiment analysis is to find out the true feelings of the varied people living in our society. It can be used for analyzing the customer feedback of a particular company, normal users on social media towards a product, services, social issues, or political agendas.
Companies also use it for brand analysis, reputation crises,…Continue
Added by Roger Max on March 21, 2021 at 9:38pm — No Comments
What do you do before purchasing something that costs more than a pack of gum? Whether you want to treat yourself to new sneakers, a laptop, or an overseas tour, processing an order without checking out similar products or offers and reading reviews doesn’t make much sense anymore. Thanks to comment sections on eCommerce sites, social nets, review platforms, or dedicated forums, you can learn a ton about a product or service and evaluate whether it’s a good value for money. Other customers,…Continue
Added by Kateryna Lytvynova on October 30, 2018 at 12:45am — No Comments
Text analytics can be a bit overwhelming and frustrating at times with the unstructured and noisy nature of textual data and the vast amount of information available. "Text Analytics with Python" published by Apress\Springer, is a book packed with 385 pages of useful information based on techniques, algorithms,…Continue
Added by Dipanjan Sarkar on July 14, 2017 at 4:00am — No Comments
There’s a lot of buzzword around the term “Sentiment Analysis” and the various ways of doing it. Great! So you report with reasonable accuracies what the sentiment about a particular brand or product is.
After publishing this report, your client comes back to you and…Continue
Added by Vivek Kalyanarangan on November 4, 2016 at 5:00am — No Comments
Imagine I show you a book review, on amazon.com, say. Imagine I hide the number of stars, – all you get to see is the number of stars. And now I’m asking you, that review, is it good or bad?…Continue
More and more organizations today are moving to unified communications (UC) platforms for better communications within their organization, with their customers and with their partners. These platforms combine voice, email, chat and web into a seamless Omni-channel experience for its users. They today boost of a number of features, but most of them provide either static or rule based experiences. Given that these platforms generate tons of data, can this data be used to improve user…Continue
Added by Kumaran Ponnambalam on March 30, 2016 at 4:30pm — No Comments
The modern consumers have changed. With the advent of internet, and easy access of it, finding what they are looking for has become easier. Customers nowadays perform a lot of research before they purchase a product. They now expect to receive personalized service customized to fit their preferences, which also keeps continuously changing. Converting a customer successfully requires a business know a lot about their buying behavior,…Continue
Added by Sameer Dhanrajani on July 10, 2015 at 2:37am — No Comments
The data is in and it's conclusive: America loved the marriage equality ruling - by Justin Tenuto
Depending on the sites you frequent and the social media you consume, you might think the Supreme Court's marriage equality ruling went over rather poorly. Maybe you spend a lot of time in the comments section of the National Review or have…Continue
Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future of sales, finance, production, and virtually every other area of the…Continue
Added by William Vorhies on August 13, 2014 at 10:54am — No Comments
Please join us in New York at the Sentiment Analysis Symposium Customer Insight Analytics Workshop on March 5 where Steven Ramirez, CEO of Beyond the Arc, will be presenting The Road to Customer Intelligence: Data, Analytics, Insight.
The afternoon workshop will offer a thorough, practical look at elements that business analysts, managers, and executives must master to compete in today’s…Continue
Added by Steven Ramirez on February 3, 2014 at 7:17am — No Comments
In this blog, I share some images from an application called Storm. I wrote the program many years ago. Storm has the ability to generate 3-dimensional plumes from a stream of data. It also has an unusual feature that allows the user to trade based on the kinetics - effectively eliminating the need to know about pricing. At this time, I would like to draw a clear distinction between trading and investing. I should also point out that I used Storm for recreational…Continue
Added by Don Philip Faithful on November 10, 2013 at 5:58pm — No Comments
Read the entire post …Continue
Added by Richard Snee on March 26, 2012 at 1:33pm — No Comments
From MIT's Technology Review -
"Data science is so new that there are no textbooks on the subject, and no university curricula designed to turn out data scientists. Yet it's integral to everything from quantitative trading on Wall Street to ad targeting on the web and the optimization of real-world supply chains."