Using the CloudExplorer

Tag clouds have gained popularity as a short cut to discovery of frequently occurring terms in a text collection. Much of the inspiration comes from the remarkable Wordle site at http://www.wordle.net. Building on that inspiration, we engineered an interactive word cloud tool in DiscoverText that we call the CloudExplorer. This video is a short introduction to how it works.

Click here to see a 3-minute video on how to use the Cloud Explorer

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Interactive Custom Machine Classifier Histograms

This is the latest DiscoverText filtering feature designed to speed up the creation of accurate custom machine classifiers. This video shows how we use an interactive display of classifier scores to isolate items in a dataset that require further human coding to improve the accuracy of the classifier. Click on the screenshot below to start the video.

Click here to learn how and why these interactive histograms are powerful tools.

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Start-up Showcase

Joe and I had fun fielding questions, passing out literature and giving away DiscoverText t-shirts. Many thanks once again for the excellent facilities and services from our MassChallenge hosts. We met some leaders of cool start-ups, a number of interesting VCs and overall had a great night.

 

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Fun with Text Analytics at Start-Up Showcase

Tomorrow (7/31), DiscoverText will be on display at the MassChallenge Start-Up
Showcase. The event, hosted by the New England Venture Capital Association will be held at One Marina Park from 6PM-9PM and will feature 90 of the MassChallenge Finalists.

On display at the showcase will be Liam’s custom machine text classifier optimized for identifying statements about the Pittsburgh Penguins, sales pitches by Joe, and of course DiscoverText & QDAP XL t-shirts from Stu, along with his latest insights on Text Analytics. Drop by for some fun with text analytics and maybe even a sweet treat!

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Shout Out to Boston New Tech Meetup #BNT19

Stu and Aleksandra at the NERD center. There was approval for ladies-cut DiscoverText t-shirts

A big thanks goes out to the organizers of the Boston New Technology Meetup, held at the Microsoft NERD Center on Tuesday, July 25th (#BNT19). The Citigroup-sponsored event gathered a nice crowd of entrepreneurs, technologists, and start-up enthusiasts, all of whom enjoyed networking, Domino’s Pizza, fast-paced technology discussions, and free drinks thanks to Microsoft.

Texifter participated in the event, along with 5 other young companies, presenting new technology in front of a highly engaged Cambridge, MA crowd. Founder & CEO Stu Shulman taught the crowd a few things about human coding and machine classifiers, which prompted the question from the audience, “does the CIA know about this?” The DiscoverText brochures and postcards were a big hit, as were the “sold-out” free t-shirts.

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Boston New Technology Meetup July 2012 #bnt19

Come learn about 6 innovative and exciting technology products and network with the Boston/Cambridge startup community! Each presenter gets 5 minutes for product demonstration and 5 minutes for Q&A. Looks like a full house for this Citibank-sponsored event, and @Texifter is excited to show the latest power tools for text.

 

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Coding Off a List

We are always looking for ways to speed up the process of creating accurate custom machine classifiers. Coding off a list is one such method. This video demonstrates a simple approach that can be applied to a variety of text analytic problems.

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Texifter in 60 Seconds

This 60-second video introduces our start-up. Click on the image below to see the Screencast and let us know what you think.

1-minute overview of Texifter

This is the Texifter elevator pitch. Feedback welcome!

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DiscoverText Launches Historical Tweet Collector

Did you regret not capturing all those Occupy Wall Street Tweets? Did you learn about DiscoverText after the Egyptian Revolution? Do you need to know how a brand or corporation has been discussed on Twitter lately? Are you interested in tracking the first tweets about the latest Syrian massacre? Do you have a hunch that Facebook’s botched IPO has something to do with how the Twitterverse discussed the public offering?

Do you ever wish you could have started capturing relevant twitter data before a historic event, mass protest, political gaffe, monumental catastrophe, or the rise of pop star? Now you can.

As part of Texifter’s continued effort to develop cutting-edge social media analytic software, we are proud to announce that DiscoverText is testing the “GNIP 30-Day Replay.” By providing this ability to capture the past 30 days of tweets, social media researchers and analysts with be able to extract even greater analytic insight using DiscoverText, which until now could only capture tweets in the present.

We think this function will  a “game-changer” for social media researchers and network analysts, who we hope to empower with this cutting edge functionality. If you, your colleagues, or anyone you know is interested in utilizing a trial of this new technology, please email me at josh@discovertext.com as soon as possible. Please include your name, your number, and the best time to reach you, and we will get you started – collecting data – right away.

- Josh

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Texifter in MassChallenge Finals

Following a sublime second round pitch made by Stu on borrowed shoes and less than 5 hours of sleep, Texifter moved into the finals of the MassChallenge. This afternoon, MassChallenge revealed the 125 finalists, 46 of which are high-tech companies, after a journey of 4 months, beginning with a simple application in February. The competition, fresh off a mention by President Obama in the State of the Union, called for entrants in late January. The organization fielded applications from over 30 states and foreign countries, totaling more than 1300 start-ups.

The remaining start-ups will compete for 1 million dollars in funding and all will have the ability to take advantage of office space in the accelerator, located at One Marina Park on the Fan Pier in Boston, MA. The accelerator will commence at the end of June, with a week long boot camp for start-up team members. Throughout the summer, MassChallenge will engage start-ups through information sessions and expert mentors.

This development comes at a busy time for Texifter, which has been making rounds in the local angel scene, most recently coming off a successful second round meeting with LaunchPad Angel Group. Over the summer, Texifter will continue rapid development and outreach, growing the client list, speaking at conferences, and developing new features for the platform. If you have any questions about Texifter and DiscoverText, please feel free to reach me at joe@discovertext.

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Analyzing Co-Occurrences

A common question we hear at Texifter is, “How can one derive co-occurrences in a slice of data?” DiscoverText makes this process relatively easy – when starting with one known variable. For instance, one might like to see which hashtags or links or keyword co-occur with other hashtags, links, and keywords in a given archive. In this case below, it is done with an archive of Romney tweets.

To derive this insight, DiscoverText users can use the “TopMeta Discovery” function to quickly “slice” a timeframe of their data into a bucket (a saved search result).

Once the “slice” is bucketed, users can perform the same TopMeta function across the hashtags (or other metadata fields) of that specific data.

Once the hashtag (or other metadata item) is selected, users can – once again – perform a quick filter, and bucket the data that matches a particular metadata item.

Finally, with the known variable isolated to a bucket, users can easily utilize functions such as TopMeta or the interactive cloud explorer in DiscoverText to pull out co-occurring links, hashtags, keywords, and other substantive insight and analyze the tweets that reference such data.

If you have any questions, feel free to email me at josh@discovertext.com.

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Using Twitter Bios & GNIP Rules to Find Domain Specific Twitter Users and Important Tweets

Thanks Lee! Here is the video link:

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Texifter in MassChallenge Semifinal

Texifter moved into the MassChallenge semifinals earlier this week.  Fresh off pitching the River Valley Investors and LaunchPad Investors, this new pitch will be our third in less than a month.

MassChallenge was lauded by President Obama at the 2012 State of the Union address. It is a start-up accelerator located in downtown Boston and the first program allowing start-ups to compete for resources. If chosen as a finalist, start-ups receive free office space, world-class mentoring, media coverage, and a share of $1 million in cash awards.

The “challenge” started in January and drew 1,237 applicants from 35 countries and 36 states. The next round commences on Tuesday, May 15th. If you are interested, please take a look at our MassChallenge profile and give us a thumbs up.

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Sina Weibo Working Group

Texifter-Sponsored Sina Weibo Working Group

Contact josh@discovertext.com to join the working group. Free Enterprise software for active group members.

The Sina Weibo Working Group is off to a wonderful start. We invite other students of Chinese micro-blogging to join the group. All group members receive free, Enterprise individual DiscoverText licenses for active group participation.

Contact josh@discovertext.com for more information.

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