Binary Sentiment Classification
A sequence of words (sentence or document) → sentiment label
A spectacular mash of E.T, X-Files and 80's.
With its amazing 80s atmosphere and creepy X-files meets E.T feel this show is set to impress. Within its first 8 minutes of run time I could tell I had found something special here in [Guess which show?].
Its intriguing story gives information at a great pace and I never felt myself getting confused or bored and there were enough twists or turns to keep me interested. This also had some rather great horror sequences and their use of lights flickering while yes a common trope fit so well in to the story I was on the edge of my seat every time the crackle of electricity shot through my speakers and the lights flickered.
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. Pang & Lee (2004)
Binary Sentiment Classification
A sequence of words (sentence or document) → sentiment label
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. Pang & Lee (2004)
DAN Performance on Sentiment Analysis
Annotation: Paid Experts
Traditional approach:
- Researchers write annotation guidelines
- Recruit and pay annotators (often linguists)
- More consistent annotations, but costly to scale
Example: Penn Treebank (1993)
- 1 million words, mostly Wall Street Journal
- Annotated with POS tags and syntactic parse trees
Tasks Humans Cannot Do Well
Deception detection:
My stay at the Talbott was a wonderful experience. The service at this upscale hotel was beyond my expectations, the Gold Coast location is close to Michigan Ave, the museums, and many of the other sites Chicago has to offer. If you are visiting Chicago, I highly recommend the Talbott!
Is this review genuine or fake?
Human performance is not the ceiling for all tasks!
Finding Deceptive Opinion Spam by Any Stretch of the Imagination. Ott, Choi, Cardie, Hancock (2011)