Natural Language Processing Consulting

Examples of our NLP projects include:

• A dashboard for the non-profit White Ribbon Alliance, allowing members of the public to explore survey responses, which have been automatically categorised using machine learning.

• An unsupervised learning model to identify recurring topics and errors in the manufacturing and supply chain processes for Boehringer Ingelheim. The errors were written in plain English or the local language of each facility.

• A neural network based model to extract structured data and statistics from clinical trial protocols, also for Boehringer Ingelheim.

• A predictive model using neural networks to deduce attributes of jobseekers’ CVs, deployed on the website of CV-Library.

• A model that predicts customers’ online purchase amounts, for the British supermarket chain Tesco.

• A recommender system to recommend jobs to candidates for CV-Library.

• A model to predict the unloading time of vehicles, used to improve accuracy of logistics planning for grocery deliveries, also for Tesco.

• A convolutional neural network based face recognition system, built for Android, iOS and desktop apps and used for biometric security.

• A voice controlled smart home application.

Some of the machine learning techniques we use include:

• Latent Dirichlet Allocation

• Jaccard Similarity

• Convolutional Neural Networks

• Transformer Neural Networks

• Random Forests

If you have a natural language processing problem and you have large amounts of data, please get in contact with us.