The Dcipher Analytics Platform
A SaaS solution that perfects human-computer collaboration for augmented text analytics
Harnessing the power of natural language processing, deep learning, and visual analytics to extract value from text
Comprehensive data import options
Import data from a range of file formats, more than a thousand APIs, or one of the most extensive social media archives on the internet. Segment, extract and score text units by relevance.
Let topics and associations emerge bottom-up and visualize relationships within the data. Iterate with the help of immediate visual feedback. Use document landscapes and token networks to find meaning in large document collections.
Speed up the process by leveraging computing that is distributed and fully parallelized in the cloud. Scale up to the number of cores you need to get the job done as fast as you want.
Smart data prep
Merge flat or nested datasets. Standardize inconsistent date formats and use fuzzy matching to merge similar texts. Choose among a number of data cleaning options and resolve ambiguities through visual context filtering.
The best of NLP
Enrich your data through world class sentiment, emotion, entity, and category detection models. Find language independent document and word embeddings using neural networks to capture contextual similarities in your data.
Efficient modelling (Coming Soon)
Train text classifiers through an iterative technique using a combination of supervised and unsupervised machine learning. Save and run your models on unannotated data.
Flexible data structure
Leverage Dcipher’s flexible, nested data structure which incorporates the output of operations. Use data on different levels of the hierarchy without the need for transforming or keeping track of relations between datasets.
Trend & burst analysis
Detect trends and sudden bursts in your data. Identify topics with high momentum and visualize their evolution over time. Forecast future trends using the latest machine learning techniques.
Automation & deployment (Coming Soon)
Build automated workflows and apply your models and operation pipelines on data in streams or batches. Access through Dcipher APIs for use in external applications and dashboards.