Was Social Buzz able to tell me when the Mets will be competitive? Ugh!

Incredible study, Jeff. Really impressive how in-depth you have gone with this report. I mean, the overview alone would have been great, but with the full deck explaining the methods and measurement, this offers a really good, real-world case study for using social media to predict trends, outcomes and event sentiment.

Now, there’s something: predicting event sentiment. Could a sports team, say, the Red Sox, take this data and analysis and use it to help predict what kind of sentiment they are going to get around a specific signing, or an announcement.

Granted, with many sports teams, they already know that a firing of a bad coach/manager (such as the Mets’ Jerry Manuel) is going to elicit negative buzz, but what about the neutral/positive buzz and the sentiment that “Hey, we’re moving on to better days now.” That’s far more difficult for a team to predict, and more importantly, begin to rebuild their brand from.

Interesting to consider. Again, great study and thanks for sharing!

Was Social Buzz able to tell me when the Mets will be competitive? Ugh!

Incredible study, Jeff. Really impressive how in-depth you have gone with this report. I mean, the overview alone would have been great, but with the full deck explaining the methods and measurement, this offers a really good, real-world case study for using social media to predict trends, outcomes and event sentiment.

Now, there’s something: predicting event sentiment. Could a sports team, say, the Red Sox, take this data and analysis and use it to help predict what kind of sentiment they are going to get around a specific signing, or an announcement.

Granted, with many sports teams, they already know that a firing of a bad coach/manager (such as the Mets’ Jerry Manuel) is going to elicit negative buzz, but what about the neutral/positive buzz and the sentiment that “Hey, we’re moving on to better days now.” That’s far more difficult for a team to predict, and more importantly, begin to rebuild their brand from.

Interesting to consider. Again, great study and thanks for sharing!

Was Social Buzz able to tell me when the Mets will be competitive? Ugh!

Incredible study, Jeff. Really impressive how in-depth you have gone with this report. I mean, the overview alone would have been great, but with the full deck explaining the methods and measurement, this offers a really good, real-world case study for using social media to predict trends, outcomes and event sentiment.

Now, there’s something: predicting event sentiment. Could a sports team, say, the Red Sox, take this data and analysis and use it to help predict what kind of sentiment they are going to get around a specific signing, or an announcement.

Granted, with many sports teams, they already know that a firing of a bad coach/manager (such as the Mets’ Jerry Manuel) is going to elicit negative buzz, but what about the neutral/positive buzz and the sentiment that “Hey, we’re moving on to better days now.” That’s far more difficult for a team to predict, and more importantly, begin to rebuild their brand from.

Interesting to consider. Again, great study and thanks for sharing!

Was Social Buzz able to tell me when the Mets will be competitive? Ugh!

Incredible study, Jeff. Really impressive how in-depth you have gone with this report. I mean, the overview alone would have been great, but with the full deck explaining the methods and measurement, this offers a really good, real-world case study for using social media to predict trends, outcomes and event sentiment.

Now, there’s something: predicting event sentiment. Could a sports team, say, the Red Sox, take this data and analysis and use it to help predict what kind of sentiment they are going to get around a specific signing, or an announcement.

Granted, with many sports teams, they already know that a firing of a bad coach/manager (such as the Mets’ Jerry Manuel) is going to elicit negative buzz, but what about the neutral/positive buzz and the sentiment that “Hey, we’re moving on to better days now.” That’s far more difficult for a team to predict, and more importantly, begin to rebuild their brand from.

Interesting to consider. Again, great study and thanks for sharing!

Was Social Buzz able to tell me when the Mets will be competitive? Ugh!

Incredible study, Jeff. Really impressive how in-depth you have gone with this report. I mean, the overview alone would have been great, but with the full deck explaining the methods and measurement, this offers a really good, real-world case study for using social media to predict trends, outcomes and event sentiment.

Now, there’s something: predicting event sentiment. Could a sports team, say, the Red Sox, take this data and analysis and use it to help predict what kind of sentiment they are going to get around a specific signing, or an announcement.

Granted, with many sports teams, they already know that a firing of a bad coach/manager (such as the Mets’ Jerry Manuel) is going to elicit negative buzz, but what about the neutral/positive buzz and the sentiment that “Hey, we’re moving on to better days now.” That’s far more difficult for a team to predict, and more importantly, begin to rebuild their brand from.

Interesting to consider. Again, great study and thanks for sharing!

Was Social Buzz able to tell me when the Mets will be competitive? Ugh!

Incredible study, Jeff. Really impressive how in-depth you have gone with this report. I mean, the overview alone would have been great, but with the full deck explaining the methods and measurement, this offers a really good, real-world case study for using social media to predict trends, outcomes and event sentiment.

Now, there’s something: predicting event sentiment. Could a sports team, say, the Red Sox, take this data and analysis and use it to help predict what kind of sentiment they are going to get around a specific signing, or an announcement.

Granted, with many sports teams, they already know that a firing of a bad coach/manager (such as the Mets’ Jerry Manuel) is going to elicit negative buzz, but what about the neutral/positive buzz and the sentiment that “Hey, we’re moving on to better days now.” That’s far more difficult for a team to predict, and more importantly, begin to rebuild their brand from.

Interesting to consider. Again, great study and thanks for sharing!

Was Social Buzz able to tell me when the Mets will be competitive? Ugh!

Incredible study, Jeff. Really impressive how in-depth you have gone with this report. I mean, the overview alone would have been great, but with the full deck explaining the methods and measurement, this offers a really good, real-world case study for using social media to predict trends, outcomes and event sentiment.

Now, there’s something: predicting event sentiment. Could a sports team, say, the Red Sox, take this data and analysis and use it to help predict what kind of sentiment they are going to get around a specific signing, or an announcement.

Granted, with many sports teams, they already know that a firing of a bad coach/manager (such as the Mets’ Jerry Manuel) is going to elicit negative buzz, but what about the neutral/positive buzz and the sentiment that “Hey, we’re moving on to better days now.” That’s far more difficult for a team to predict, and more importantly, begin to rebuild their brand from.

Interesting to consider. Again, great study and thanks for sharing!

Was Social Buzz able to tell me when the Mets will be competitive? Ugh!

Incredible study, Jeff. Really impressive how in-depth you have gone with this report. I mean, the overview alone would have been great, but with the full deck explaining the methods and measurement, this offers a really good, real-world case study for using social media to predict trends, outcomes and event sentiment.

Now, there’s something: predicting event sentiment. Could a sports team, say, the Red Sox, take this data and analysis and use it to help predict what kind of sentiment they are going to get around a specific signing, or an announcement.

Granted, with many sports teams, they already know that a firing of a bad coach/manager (such as the Mets’ Jerry Manuel) is going to elicit negative buzz, but what about the neutral/positive buzz and the sentiment that “Hey, we’re moving on to better days now.” That’s far more difficult for a team to predict, and more importantly, begin to rebuild their brand from.

Interesting to consider. Again, great study and thanks for sharing!