BuzzTalk Blog

Driverless cars: questions, concerns and sentiment analysis

Jul 7, 2014 12:08:00 PM

People are remembered for the predictions that are spot-on, while the ubiquitous predictions that are completely off are usually forgotten. Steven Lewitt and Stephen Dubnet, the writers of Freakonomics, argue in their latest book How to think like a freak that it's probably best to make a lot of predictions. The risk of making a mistake is low, as  almost no one has a strong incentive to keep track of everyone else's bad prediction, while the rewards of being right are huge.

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Topics: Content discovery, Research using social media, Sentiment Analysis, Market Research

Benchmarking the share of voice of Coca-Cola, Red Bull and Pepsi

Dec 3, 2013 8:55:00 PM

Today we're comparing three soft drink brands: Coca Cola, Pepsi and Red Bull. All are big names in the beverages industry. We'll use BuzzTalk's benchmark tool to find out which brand is talked about the most and how people feel about this brand. As you probably know it's not enough if people talk about your brand. You want them to be positive and enthusiastic.

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Topics: Share of Voice, Sentiment Analysis, Brand value, Market Research, Mood states

Exploring 3D printing using BuzzTalk as a discovery engine

May 31, 2013 2:41:00 PM

BuzzTalk has been ultimately developed to understand the world as we know it. To answer the who?, what? where? and when? questions concerning any topic you can think of. With BuzzTalk you can for instance monitor trends and emerging technologies. 

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Topics: Content discovery, Sentiment Analysis, Market Research

How (not) to determine the influence of sponsorship on perceived brand value

Jan 8, 2013 12:26:00 PM

In this blogpost we highlight a scientific article "Sponsoring, Brand Value and Social Media" that was published in december 2012 by Zauner et al. to see whether we can draw any conclusions from this that may help companies in their marketing.

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Topics: Online reputation monitoring, Online reputation, Social media monitoring, Sentiment Analysis, Brand value

An introduction into automated sentiment detection

Sep 27, 2012 2:10:00 PM

The rise of social media has turned our world upside down. Before only companies were publishing information but now everyone can ventilate their views and opinions on the web. People are writing blog post, comments on those of others, write reviews, post on forums, and tweet about all sorts of topics.

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Topics: Online reputation monitoring, Sentiment Analysis, Mood states

How Twitter takes business intelligence & market research to new heights

Jul 4, 2012 3:54:00 PM

If you believe in the Mayan Calendar our world is going to end this year. However, if you believe we will still be there you may want to have some better means of predicting the future.

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Topics: Big data, Twitter, Social media monitoring, Sentiment Analysis, Business Intelligence

Twitter mood predicts the stock market with 86.7% accuracy

May 29, 2012 9:41:00 AM

Some people think Twitter is about sharing pointless little messages or about self promotion. However, there’s more to Twitter than this! Whilst a study by Pear Analytics in 2009 estimated that 40% of Twitter messages are just 'babble', this means that 60% isn't. And you can take advantage of that.

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Topics: Sentiment Analysis, Decision support, Mood states

The business value of sentiment analysis

Apr 20, 2012 2:25:00 PM

What is sentiment?

Sentiment is the tone of voice in which a particular document was written. We as humans have usually have no problems determining the sentiment of documents. As we read a text we just know whether it's positive or negative. We've learned that certain words are indicative of a positive sentiment. These are for example words such as good, grand or hero. Other words like terrible, bad or violent are clearly indicative of a negative sentiment. And even when it comes to sarcasm like "go read the great book" we know this is negative for the movie that was reviewed. How different is this for computers that take everything literally.

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Topics: Sentiment Analysis

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We publish articles about social media monitoring, content analysis and curation.

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