Tag Archives: SMA

Analyzing Co-Occurrences

Posted on May 22, 2012 by Josh Sowalsky

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 … Continue reading →

Posted in DiscoverText, general, research | Tagged analysis, analytics, co-occurrences, DiscoverText, hashtags, insight, links, Media, romney, SMA, social, Social Media, Social Media Analytics, statistics, stats, Texifter, tweet, Tweets, twitter, Twitter Analysis, twitter stats, urls | 1 Comment

Election Analytics Part I: Romney Trends in April

Posted on May 5, 2012 by Josh Sowalsky

[In the coming months leading up the U.S. presidential election, the Texifter blog will be featuring a multi-part series on various analytical insights into the election, which can be gained by utilizing a host of social media analytics (SMA) methods within … Continue reading →

Posted in DiscoverText, research, Twitter | Tagged Active Learning, analytics, API, conservative, Data Mining, DiscoverText, election, Facebook API, gingrich, GNIP, hashtags, liberal, Machine Classifiers, Machine Learning, newt, newt gingrich, nomination, nomineee, p2, primary, Republican, republican nomination, republican nominee, rnc, romney, Ron Paul, santorum, SMA, Social Media, Social Media Analytics, statistics, Texifter, Text Analysis, Text Analytics, Tweets, twitter, Twitter API, Twitter Mining, withnewt | 1 Comment

Exporting TopMeta

Posted on April 26, 2012 by Josh Sowalsky

Due to popular demand, the product development team at Texifter is proud to announce that “TopMeta” is now exportable! What does this mean, you might ask? What is TopMeta? When you import either your own data or live social media … Continue reading →

Posted in general | Tagged analysis, analytics, BI, business intelligence, CSV, data, data analysis, data export, data import, export, exporting, GNIP, gnip powertrack, HR analysis, HR Analytics, Human Resource Analytics, live feeds, metadata, metadata analysis, network, organization, People Analytics, Public Comment Analysis, Qualitative, Qualitative Data Analysis, Regulations.gov, SMA, Social Media Analysis, Social Media Analytics, Text Analytics, topmeta, trend analysis, twitter, twitter analytics | 5 Comments

Decoding the Hunger Games

Posted on March 24, 2012 by Marie Lena Tupot

Essentially, everybody is trying to tell a story these days. Unfortunately, what we’ve been finding is that the stories are getting increasingly prescribed. That’s true for media and brands. There’s a confidence that gets lost when the question of who … Continue reading →

Posted in general | Tagged #OWS, analytics, Anthropology, books, Culture Mapping, DiscoverText, Film, Film Analytics, Games, Hunger, Hunger Games, Katniss, Libertarian, Market Research, marketer, Marketing, Movie, Occupy, role model, semiotics, SMA, Social Media Analytics, TCOT, Tea Party, Texifter, Text, Text Analytics, twitter | Comments Off

Weibo Arrives @DiscoverText

Posted on March 20, 2012 by Josh Sowalsky

After months of user anticipation, the Weibo API is now integrated into DiscoverText, our “do-it-yourself” text analytic solution for deriving insight from unstructured text. With over 300 million users, Weibo is the largest micro-blogging website in China. Its integration into … Continue reading →

Posted in DiscoverText, general, product, research, Twitter | Tagged #bigdata, Active Learning, analytics, API, API Graph, big data, China, Chinese, Chinese Big Data, Chinese media, Data Mining, DiscoverText, Machine Classifiers, Machine Learning, Media, NLP, SMA, Social Media, Social Media Analytics, social media monitoring, Texifter, Text Analysis, Text Analytics, Tweets, Twitter API, Twitter Mining, weibo | 1 Comment

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