By Blair Heckel
This is a snapshot of our hashtag analysis solution for market intelligence. We are showcasing a weekly report of our supermarket index. This weekly report showcases data from March 29, 2014 to April 4, 2014.
Here are some insights as to what we can learn from this report.
The first page displays the hashtags tracked with their frequency, along with the number of tweets and users found.
The sentiment analysis and global percentage per term showcase the sentiment of the tweets found with these hashtags as either positive, neutral or negative.
When we see the top 10 or top 50 frequent words displayed, they are not necessarily correlating hashtags. They can be hashtags, terms and twitter handles.
For example, Walmart has a new fleet of supply trucks using cutting edge technology and design which drew comparisons on Twitter to resembling Transformers, the popular children’s toy. Another association with Walmart is the word dividend. Walmart’s dividend drops from $7 to $2 and calls recent Food Stamp cuts a risk due to changes in SNAP and other public assistance programs.
Unfortunately, some hashtags can be misconstrued for something other than supermarkets.
The terms science, 1400, #Melissaandjoey, #multitasking, #sweat, #tattoos, #Walmart and #recallalert all have to do with a YouTube video using Twitter as free advertisement by embedding #Walmart into their tweets as a way to garner views.
While we find unrelated terms and trends in this supermarket index frequenting these corresponding hashtags, we are constantly working to give a clean report relating solely to your industry.
To gain more insight into the conversations surrounding your industry or to use our solution for a more in-depth analysis, contact us at firstname.lastname@example.org for a demo of our solution.
For more information, visit http://slideshare.net/interstackhashy