1 / 8

Information Extraction From Automobile Advertisements

Extract structured information from automobile advertisements on Craigslist using a rudimentary keyword search approach. Overcome the difficulty of finding ads with specific attributes such as make, model, price, year, mileage, transmission, posted by, location, and contact information.

tessag
Download Presentation

Information Extraction From Automobile Advertisements

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Information Extraction From Automobile Advertisements Nipun Bhatia Rakshit Kumar Shashank Senapaty

  2. Problem Definition • Craigslist - Rudimentary keyword search. • Not a natural way to search for cars. • Difficult to efficiently find ads with particular attributes. • Want structured search over attributes. • Attributes : Make, Model, Price, Year, Mileage, Transmission, PostedBy, Location, Contact

  3. Dataset & Issues • 350 postings from the cars & trucks section in Craigslist. • Manually annotated with the attributes.

  4. System Diagram

  5. Feature Selection • Features: • Title : isPresentLexicon, hasDollar_hasDigit, hasParanthesis, hasDigit, hasApostrophe_hasDigit, PrevLabel, Word • Body :isPresentTrLexicon, isPresentOwLexicon, hasDigit_ hasDash, hasDigit_hasDot, hasDigit_ hasParanthesis, Word_Representation, Neighbor

  6. Results Body Classifier Title Classifier

  7. Example Results

  8. Thank You!

More Related