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NLP with NLTK – Part 1

NLP with NLTK –...

Introduction: The idea of using a structured programming language to interact with computers is being challenged by Natural Language Processing (NLP) and Natural Language Understanding methods. NLP holds great promises of making computer interfaces accessible to a wide range of audiences – as humans would be able to talk to computers in their own native […]

Here’s What Twitter Was Like During the Super Bowl.

Here’s What Tw...

The Patriots 34-28 win in Super Bowl 51 was, quite possibly, one of greatest football games of all time. It had the largest Super Bowl comeback of all time and was the first to ever to go to overtime. For data-minded folks, the game exhibited striking parallels to the election. ESPN’s live prediction models was saying that Atlanta was almost certain to […]

Resolution Tweet Breakdown

Resolution Tweet Bre...

It’s a new year everyone, which means new years resolutions. Many us are making the usual promises to ourselves about picking up or dropping certain habits. Thinking about new year’s resolutions prompted us here at to think about and analyze people’s goals. While it’s impossible to know everyone’s resolution, the next best thing is what we can collect from […]

Implementing a CNN for Text Classification in Tensorflow

Implementing a CNN f...

The full code is available on Github. In this post we will implement a model similar to Kim Yoon’s Convolutional Neural Networks for Sentence Classification. The model presented in the paper achieves good classification performance across a range of text classification tasks (like Sentiment Analysis) and has since become a standard baseline for new text […]

Debate Night Twitter Part 2: Analyzing the Tweets of the Final Debate.

Debate Night Twitter...

Editor’s note: Opinions expressed in this post do not necessarily reflect the views of #ODSC Last Wednesday, the third and final debate of the 2016 Presidential Election was held and with three weeks to go before election day, the two candidates sought to persuade undecided voters and rally their supporters in another tense head-t0-head matchup. As we did for the […]

Text Mining Trump Speeches Part 3: Topic Modeling, Trump fixated on Hillary

Text Mining Trump Sp...

Editor’s note: Opinions expressed in this post do not necessarily reflect the views of #ODSC At the start of this blog series I had no idea how the campaign dialogue would evolve.  I am surprised how the discussion has distanced even farther from issues to personal affairs leaving many Republicans to abandon Donald Trump altogether.  The dialogue has […]

Trump and Clinton Speeches, Step 2: Trump is a Negative Sophomore and Clinton is a positive one!

Trump and Clinton Sp...

Editor’s note: Opinions expressed in this post do not necessarily reflect the views of #ODSC, nor do they necessarily reflect the views of Edward’s employer. Looks like the presidential race is heating up!  Many polls have the candidates in a tight race.  Just after the debate both Clinton and Trump proclaimed “victory.” Instead of sound bites in this […]

Identifying Hate Speech

Identifying Hate Spe...

All the beauty of the internet age comes with its fair share of ugliness. Recently, a deluge of articles highlighting the dark side of Twitter has raised concerns for its future. As great as it is to engage with others on a variety of topics, as of late it’s the bad eggs that seem to […]