Compared to multimedia datatypes like audio, images, and video, text data can appear deceptively simple to analyze. However, even the most routine textual content contains an incredible depth of information.
Working from even the simplest documents, we can infer likely facts about the background and intent of the author. We can glean insight not only into the substantive content of the written words, but also their underlying grammar, syntax, and organizational structure.
Precisely processing textual data with this level of detail presents a serious logistical challenge—especially in support of global projects with unique data needs.
UNLOCKING THE VALUE OF TEXT DATA
WHAT WE DO
Text Data Collection Services
Text Annotation Services
Text Insight Services
Zen3’S APPROACH TO TEXT DATA
Transforming Speech from Audio to Business Intelligence
Zen3 has a deep respect for the immense potential intelligence hidden within even the most routine text. Extracting this data consistently, precisely, and efficiently constitutes a serious challenge—one our team has proven capable of meeting in support of some of the most respected names in tech. Meeting this challenge effectively requires a team of highly trained human analysts armed with a proven workflow for collecting and analyzing huge amounts of text. This team employs smart utilization of custom in-house tools powered by machine-learning automation. Their work is connected by a unified, cohesive decision-making approach to processing text data.
We begin by selecting text rich data resources tailored to client-defined project goals. From there, we can begin sourcing data, strategically utilizing private vendors and publicly available data sources. Once identified and collected, all data needs to be curated and organized. That means ensuring the information that’s being taken in is accurate, properly labeled, and fully translated into the ideal language for the project at hand.
Once the text has been processed, full-scale analysis and annotation efforts can begin. Analysts are trained on project-specific imperatives, from fine-grained grammatical analysis to identification of key subject matter. From there, we can integrate our own data analysis pipeline directly with your own infrastructure, taking on management tasks as needed, or simply hand-off the annotated data in the desired format.
DISCOVERY TO INSIGHT & MODERATION PROCESS
Zen3 TEXT DATA SERVICE OFFERINGS
Our end-to-end text data capabilities provide for enterprise-quality data even when supporting large scale data gathering in support highly unique analytical parameters. All data collection is customized in response to the specific needs of each client. From scanning physical documents to pouring over vast piles of dense digital documentation, we’re ready to help intake text data at any scale.
Our annotation, analysis, and labeling workflows extract the maximum possible insight from raw text data. We deliver a result of elite-quality data capable to train machine learning models or just to transform static text-document repositories into usable corporate resources.
Even seemingly straightforward moderation needs—like ensuring that user comments don’t run afoul of content policies—require a robust data pipeline to avoid becoming a costly operational drag. Automation techniques render these sorts of processes far less cumbersome. Besides, human analysts can be called in for more nuanced judgment calls wherever necessary. From reviewing documents for regulatory compliance to monitoring real-time text intake pipelines, Zen3 can provide tight control of text quality across diverse enterprise use cases.