Natural Language Processing (NLP)

At Lumen, we specialise in Natural Language Processing (NLP) solutions that enable organisations to unlock the power of human language for automation, analysis, and personalisation. NLP allows businesses to transform unstructured text and speech data into actionable insights—supporting smarter decision-making, improved customer interactions, and enhanced productivity.

Our team helps you design and implement AI-driven language solutions that understand, interpret, and generate human language with high accuracy and efficiency.

Custom NLP Solution Design

Developing bespoke NLP models and systems tailored to your specific business needs, whether it’s for sentiment analysis, text classification, or question answering.

Text & Speech Analysis

Implementing speech recognition and text processing capabilities to extract key insights from voice data, customer feedback, and social media content, enabling a deeper understanding of your customers’ needs and sentiments.

Chatbots & Conversational AI

Building AI-powered chatbots and virtual assistants that provide natural, context-aware conversations with users, improving customer support, lead generation, and overall engagement.

Named Entity Recognition (NER)

Using NER algorithms to identify and categorise key entities (e.g., names, dates, locations) within unstructured text, enabling more accurate data extraction for enhanced decision-making.

Text Generation & Summarisation

Implementing advanced language models for automated text generation and summarisation, providing your team with intelligent content creation and more efficient document processing.

Sentiment & Emotion Analysis

Deploying NLP models to assess the sentiment and emotions within text, helping you gain insights into customer feedback, brand perception, and market trends.

Multilingual NLP

Supporting multilingual NLP applications, enabling your business to engage global audiences and accurately process text data in multiple languages, with custom language models tailored to your regional needs.

AI Ethics & Bias Mitigation

Ensuring your NLP applications adhere to ethical guidelines, minimising the risk of bias in language models and ensuring fairness, accuracy, and transparency in AI-driven insights.