2097 search results for "twitter"

Charting Twitter time series data with tweet and unique user counts

May 21, 2012
By

Let’s say you’ve used my Python script to automate the download of a hashtag or search phrase from Twitter (in a Unicode safe way, unlike within R).  Now let’s say you want to visualize the number of tweets over time.  Easy… Read more ›

Read more »

RNA-Seq Methods & March Twitter Roundup

April 6, 2012
By

There were lots of interesting developments this month that didn't work their way into a full blog post. Here is an incomplete list of what I've been tweeting about over the last few weeks. But first I want to draw your attention to the latest manuscri...

Read more »

How I Learned to Stop Worrying and Love Twitter

April 4, 2012
By

In honor of Twitter making the decision to come to Detroit, here’s a special post on how I became a Twitter user. … At 3:30pm my wife called me. There was a shooting where my brother-in-law works at UPMC Western...

Read more »

Twitter Germany will be based in Berlin – Taking a look at the numbers

March 27, 2012
By
Twitter Germany will be based in Berlin – Taking a look at the numbers

What I really love about Twitter is that everything they do seems to be data-based. They’re so data-driven, they even analyze the ingredients of their lunch to ensure everyone at the company is living a healthy lifestyle. So, the decision for Berlin as their German headquarter cannot be a random or value-based decision.

Read more »

R, Twitter and McDonald’s

March 23, 2012
By
R, Twitter and McDonald’s

Ed Chen is a data scientist at Twitter, so he's accustomed to working with big data and complex models. In an interview with MIT Technology Review, he describes his data science toolbox: A common pattern for me is that I'll code a MapReduce job in Scala, do some simple command-line munging on the results, pass the data into Python...

Read more »

Mining Twitter for consumer attitudes towards hotels

March 9, 2012
By
Mining Twitter for consumer attitudes towards hotels

Couple of months back I read Jeffrey Breen’s presentation on mining Twitter for consumer attitudes towards airlines, so I was just curious how it would look if I estimate the sentiment toward major hotels. So here it is: # load twitter library > library(twitteR) # search for all the hilton tweets > hilton.tweets=searchTwitter('@hilton',n=1500) > length(hilton.tweets)

Read more »

People voice about Lynas Malaysia through Twitter Analysis with R CloudStat

February 28, 2012
By
People voice about Lynas Malaysia through Twitter Analysis with R CloudStat

People voice about Lynas Malaysia through Twitter Analysis with R CloudStat: CloudStat Analysis: This is a twitter analysis report for “Lynas” from 21 till 28 February 2012, generated by CloudStat Twitter Application. Lynas was a hot topic, espec...

Read more »

R twitteR Analysis: How HOT is the Lynas Rare Earths Mining Malaysia?

February 25, 2012
By
R twitteR Analysis: How HOT is the Lynas Rare Earths Mining Malaysia?

Since Lynas Malaysia Corporation, Australia Rare Earth Refiner Granted Malaysia License, it is always a very hot topic. This can be proven through the daily tweets across recent 7 days. This chart was built by Tweets Keyword Trending Application @...

Read more »

Visualising Twitter User Timeline Activity in R

February 17, 2012
By
Visualising Twitter User Timeline Activity in R

I’ve largely avoided “time” in R to date, but following a chat with @mhawksey at #dev8d yesterday, I went down a rathole last night exploring a few ways of visualising a Twitter user timeline and as a result also had a quick initial play with some time handling features of R, such as timeseries objects,

Read more »

Generating Twitter Wordclouds in R (Prompted by an Open Learning Blogpost)

February 15, 2012
By
Generating Twitter Wordclouds in R (Prompted by an Open Learning Blogpost)

A couple of weeks ago I saw a great example of an open learning blogpost from @katy_bird: Generating a word cloud (or not) from a Twitter hashtag. It described the trials and tribulations associated with trying to satisfy a request for the generation of a wordcloud based on tweets associated with a specific Twitter hashtag.

Read more »