Extracting Phone Numbers With Apache Tika

Kevin Feasel

2017-07-27

Hadoop

Unni Mana knows how to get your digits:

Last time, I had difficulties detecting phone numbers from different types of documents. The challenge was that I had to use different parsers to parse and extract the phone numbers. For example, to extract phone numbers from a Word document, I had to use a library that supports Word. Also, I cannot use the same library or logic to parse a PDF file. Ultimately, I need to maintain different libraries for different document types, which, as you can image, can lead to many issues.

It looks like this covers international phone numbers as well.  Seems pretty interesting.

Related Posts

Last-Click Attribution With Databricks Delta

Caryl Yuhas and Denny Lee give us an example of building a last-click digital marketing attribution model with Databricks Delta: The first thing we will need to do is to establish the impression and conversion data streams.   The impression data stream provides us a real-time view of the attributes associated with those customers who were served the […]

Read More

Working With Kafka At Scale

Tony Mancill has some tips for working with large-scale Kafka clusters: Unless you have architectural needs that require you to do otherwise, use random partitioning when writing to topics. When you’re operating at scale, uneven data rates among partitions can be difficult to manage. There are three main reasons for this: First, consumers of the “hot” […]

Read More

Categories

July 2017
MTWTFSS
« Jun Aug »
 12
3456789
10111213141516
17181920212223
24252627282930
31