- SentiWordNet — WordNet with hints as to sentiment of particular terms, for use in sentiment analysis. (via Matt Biddulph)
- Word Frequency Lists and Dictionaries — also for text analysis. This site contains what we believe is the most accurate frequency data of English. It contains word frequency lists of the top 60,000 words (lemmas) in English, collocates lists (looking at nearby words to see word meaning and use), and n-grams (the frequency of all two and three-word sequences in the corpora).
- Crash Course in Web Design for Startups — When I was a wee pixel pusher I would overuse whatever graphic effect I had just learned. Text-shadow? Awesome, let’s put 5px 5px 5px #444. Border-radius? Knock that up to 15px. Gradients? How about from red to black? You can imagine how horrible everything looked. Now my rule of thumb in most cases is applying just enough to make it perceivable, no more. This usually means no blur on text-shadow and just a 1px offset, or only dealing with gradients moving between a very narrow color range. Almost everything in life is improved with this rule.
- Leafsnap — Columbia University, the University of Maryland and the Smithsonian Institution have pooled their expertise to create the world’s first plant identification mobile app using visual search—Leafsnap. This electronic field guide allows users to identify tree species simply by taking a photograph of the tree’s leaves. In addition to the species name, Leafsnap provides high-resolution photographs and information about the tree’s flowers, fruit, seeds and bark—giving the user a comprehensive understanding of the species. iPhone for now, Android and iPad to come. (via Fiona Romeo)
ENTRIES TAGGED "sentiment analysis"
Panagiotis Ipeirotis on the phrases and formatting of effective product reviews.
How much is an Amazon review — good or bad — worth? Computer scientist and NYU professor Panagiotis Ipeirotis analyzed the text in thousands of Amazon reviews to find out.
Sentiment analysis sheds new light on an old book.
OpenBible.info found a novel way to examine one of the world's most analyzed texts: Create a visualization showing the rise and fall of sentiment across the Bible.
Sentiment analysis gives algorithmic trading an edge
Sorting through thousands of news stories and categorizing information based on mood and tone creates useful data points for financial systems.
Sentiment Analysis, Word Frequency, Design Process, and Plant Recognition
Sentiment analysis reveals the "Champion of Champions" of SXSW.
Each year, PeopleBrowsr uses sentiment analysis to crown Twitter’s top SXSW influencer. The latest champion — a guy who won’t even be in attendance at this year’s event — has tasted victory before.
Built for emergencies, now available as open source and as a web service
Built for emergencies, Usahidi's mapping and social media monitoring tools also have commercial applications. Though open source, the tools are also available as for-pay hosted services.
The online encyclopedia is a great resource for data scientists
Wikipedia is an essential tool in the data scientist's armory. Today's Strata Gem shows how it can be used to help computers distinguish between different sense of common words.
Revolutionaries, Sentiment, UX, and Data Warehouses
- Rules for Revolutionaries — Carl Malamud’s talk to the WWW2010 Conference. Video, slides, and text available.
- Self-Improving Bayesian Sentiment Analysis for Twitter — a how-I-did-it for a homegrown project to do sentiment analysis on Twitter.
- LUXR — the Lean User Experience Residency program. LUXr brings user experience and design services to early stage teams in a lower cost, more efficient way than traditional project-based consulting. The latest from Adaptive Path’s Janice Fraser.
- My Top Ten Assertions About Data Warehouses (CACM) — Michael Stonebraker’s take on the data warehouse world, and his predictions cut across a lot of our O’Reilly trends. Assertion 5: “No knobs” is the only thing that makes any sense. It is pretty clear that human operational costs dominate the cost of running a data warehouse. [...] Almost all DBMSs have 100 or more complicated tuning “knobs.” This requires DBAs to be “4-star wizards” and drives up operating costs. Obviously, the only thing that makes sense is to have a program that adjusts these knobs automatically. In other words, look for “no knobs” as the only way to cut down DBA costs. (via mikeolson on Twitter)