Tina Lieu
Contributor
10 articles
Tina Lieu is a contributor to Babel Street's blog.
Articles by Tina Lieu

Five Ways a Good OSINT Platform Differs from a Mediocre One
Understand what you can experience with a truly good OSINT solution before you chooseOpen-source intelligence (OSINT) has come a long way in the last 10-15 year...

How Named Entity Recognition Connects the Dots for Law Enforcement and Intelligence
Entity recognition helps link persons and organizations to the agency knowledge baseThe unknown “unknowns” keep law enforcement and intelligence professionals a...

Challenges of Southeast Asian Languages — Tagalog, Malay, and Indonesian — for Text Analytics
Babel Street Analytics supports three major Southeast Asian languages — Tagalog, Malay, and Indonesian — in its text analytics product line, in addition to Japa...

Seven Tips for Choosing Name Screening Technology
What should you be looking for when evaluating and selecting a name screening solution?1. AccuracyAccuracy is the top concern when choosing a name screening sol...

Semantic Search is Remedy for Keyword Inaccuracy in E-discovery
Semantic search is the aspirin to the headaches of keyword search in e-discovery. It is based on text embeddings, a natural language processing technology that ...

How to Measure Accuracy of Name Matching Technology and What to Know Before You Buy
If name matching or searching is mission critical for your business, the first question you’ll likely ask about any tool is, “How accurate is it?” However, what...

More than Name Matching: Match Intelligently Matches Postal Addresses and Dates
Astaire Avenue, Garland Drive, Lamarr Avenue, Skelton Circle, and Hepburn Circle are real street names in Culver City, CA, and are as equally prone to spelling ...

The #1 Obstacle to Accurate Name Screening Isn’t Data: It’s Search
Why “vanilla” search can’t handle the nuances of name screeningBabel Street’s Carlos Azeglio (VP Commercial Sales), who is a financial industry veteran, and Pat...

Evaluating NLP for Named Entity Recognition, Part 2: Annotating and Scoring
In our previous blog post, we discussed the importance of defining your requirements for your NLP evaluation. In short, can you describe what “perfectly perform...

Deep Learning Brings Fuzzy English-to-Japanese Name Matching Into Focus
Matching thousands of Latin-based names to their Japanese equivalent is a very specific and troublesome problem. It is one of many “edge cases” (i.e., a specifi...