How Oracle Uses CrowdFlower's Data Enrichment Platform For Sentiment Analysis
Thursday August 13th 2015, 10:00 AM PST - 45 Minutes
Analyzing sentiment is difficult. You need a ton of data to get a real picture about your users' thoughts and opinions but computers are notoriously bad at parsing nuance in at parsing nuance in language. Sentiment analysis gets even more difficult when you’re looking at social media, where messages are rife with sarcasm, misspellings, acronyms, and images.
The problem is, most companies use out-of-the box solutions like natural language processors. Those tools top out at about 70% accuracy. And those tools really can't go much deeper than "positive" and "negative."
Join this webinar to listen to Randall Sparks, Pallika Kanani (Oracle) and Lukas Biewald (CrowdFlower) talk about how tapping into a global on-demand workforce helps increase accuracy of these sentiment mappings and results.
What will you learn?
- Leverage the world's largest 24/7 labor pool to accurately analyze sentiment in hours, not weeks
- Identify trends and crises early so you can help them adapt and grow
- Utilize a state-of-the-art data enrichment platform to clean and enrich your data
Featured Experts
Randall Sparks
Randall Sparks is Principal Member of Technical Staff at Oracle Data Cloud in the social media analytics group. Randall has a Ph.D. in Linguistics from Univ. of Colorado. He has over 25 years experience in in software development, mostly in NLP, text analysis, media, telecommunications services. Randal is an inventor with 5+ patents filed and granted.
Pallika Kanani
Pallika Kanani is Senior Research Staff Member at Oracle Labs. Pallika has a Ph.D. in Computer Science from Univ. of Massachusetts Amherst and an M.S. in Computer Science from NYU. She works with the Information Retrieval and Machine Learning Group at Oracle Labs. Current projects include: Working on large scale information extraction and ranking problems in various business domains.
Lukas Biewald
Lukas is the CEO at CrowdFlower. Following his graduation from Stanford University with a B.S. in Mathematics and an M.S. in Computer Science, Lukas led the Search Relevance Team for Yahoo! Japan. He then worked as a senior data scientist on the Ranking and Management Team at Powerset, Inc., acquired by Microsoft in 2008.
What is CrowdFlower People-Powered Sentiment Analysis?
People talking about your brand is one thing. Understanding what they're saying is a different story altogether. CrowdFlower's people-powered sentiment succeeds where automated solutions like NLP fail. Here's how:
Set it and forget it: With a global pool of millions of contributors, your job gets completed quickly no matter when you start it.
Dig Deeper: Leverage a fluent, professional contributor base who understand concepts that automated solutions simply can't.
Analyze and React: Download enriched data to uncover what people actually think about your brand.Our Customers
CrowdFlower is the leading people-powered data enrichment platform for data scientists. Our quality-control technology is the fastest and most accurate way to collect, label, and clean data at scale. The platform automates the management of an on-demand, online workforce to tackle tasks that require human intelligence – like search relevance tuning, image annotation, transcription, and de-duplication.