1. Searching for meaning in
(the data of) life
Shyam Kapur
Confidential - 2011

2. Asking the Whys
• Who enjoys searching on _______________?
• Who enjoys reading long articles?
• Who reads long articles anymore?
TipTop Technologies, Inc.
http://FeelTipTop.com Confidential

3. Who am I?
Asst. Professor
TipTop
PhD Adchemy
President & CEO Chief Scientist
Staff Scientist Postdoc
Yahoo! Cornell
UPenn VP, Search Technologies
Infoseek
Research Scientist
MetaLINCS
Principal Engineer
TipTop Technologies, Inc.
http://FeelTipTop.com Confidential

4. Areas published/produced in?
Data Mining
Language Learning Computational linguistics
User Interfaces Inductive Inference
Natural Language Processing Search Engines
Clustering Cognitive Sciences
Contextual targeting
Text & query classification Behavioral targeting
Legal discovery Data Visualization
Text Mining
TipTop Technologies, Inc.
http://FeelTipTop.com Confidential

5. TipTop
TipTop Technologies, Inc.
http://FeelTipTop.com Confidential

6. What are we doing?
TipTop helps anyone connect with the best
people and information in real time.
TheWorld Users
(on)
Tips Matching Top
(of their mind)
Most fulfilling, fastest, most accurate matching

7. Why are we doing this?
• Everyone deals with a sea of unstructured information
that they can barely cope with
• Amount of relevant data to any situation is way
beyond human brain’s capacity and speed
• State-of-the-art search tools are hopelessly inadequate

8. How are we doing this?
• We have attacked the very hard problem of
extracting meaning from natural language text like
humans do:
o “…Make sure you order the lamb. It’s the chef’s specialty (even though
it’s off the menu)…”
o “…Our trip went from great to terrific because we discovered a small cove
a few miles north from Parrot Key…”
o “…Dark Knight is well worth your time, but if you have kids, you
might want to think twice…”

9. How are we doing this?
• TipTop’s proprietary human cognition-based
learning engine extracts all instances of the
following systematically from data:
1. What entity is being talked about? E.g., a movie, book, hotel,
stock, product.
2. What attribute of the entity is being talked about? E.g., acting in a
movie, writing style in a book, revenue projections of some
company.
3. What is the sentiment being expressed about this attribute? E.g.,
lobby of the hotel is small, the actor in this movie is not talented,
this company is expected to double its revenue next year.
TipTop Technologies, Inc.
http://www.FeelTipTop.com Confidential

10. Human cognition-based engine
• Learns like children learn their first language
• Fine-tuned to understand conversational language
of the kind found in user-generated content
• Built from the ground up as existing technologies
are not advanced enough

11. How can you get involved?
• Use TipTop and provide us feedback
• Participate in developing our Platform further
– Add data
– Suggest/add analytics for/to existing objectives
– Suggest new objectives (and add analytics for them)
– Suggest/add new interfaces/visualizations for data
TipTop Technologies, Inc.
http://FeelTipTop.com Confidential

12. Contact Information
Shyam Kapur
shyam@feeltiptop.com
TipTop Technologies, Inc.
http://FeelTipTop.com Confidential