Introduction to Natural Language Processing (NLP)

Natural Language Processing (Natural Language Processing ; NLP) is a technology that allows machines to understand, interpret, and generate human language. In the context of digital transformation, NLP opens doors to a smoother communication between users and computer systems, thus facilitating a multitude of applications, from sentiment analysis to the automation of customer services.

StoryShaper offers deep expertise in NLP, supporting businesses in exploiting this technology to improve operational efficiency, strengthen customer engagement, and discover new opportunities for innovation. Through a personalized approach, we help our clients navigate through the complexities of NLP, from design to integration, through the development of tailor-made solutions.

Our NLP services

Our NLP offering encompasses a full spectrum of services, aimed at transforming digital interactions and exploiting the potential of textual data. We start with a counseling phase to identify the most relevant use cases within your business, whether it's improving customer service through intelligent chatbots or extracting key information from vast amounts of text. Design and development follow, with the creation of tailor-made NLP solutions adapted to the specific needs of each client. Our expertise also covers the integration of these solutions into existing IT systems, ensuring smooth implementation and total interoperability. Throughout the process, we ensure that the solutions deployed are scalable, secure, and compliant with regulations.

Typical deliverables of an NLP mission

The NLP projects we carry out take the form of the delivery of several key elements. Typical deliverables include a mapping NLP opportunities specific to the company, identifying processes who would benefit the most from automation and linguistic analysis. We also provide prototypes and customized final solutions, accompanied by detailed technical documentation to facilitate their adoption and maintenance.

To ensure successful integration, a systematic integration plan is developed, detailing the steps and resources required. Finally, we offer sessions of training for end users and IT teams, ensuring that new NLP solutions are fully exploited. These deliverables are designed to maximize the impact of NLP on business operations, improving decision-making, efficiency, and customer satisfaction.

Key questions addressed during an NLP project:

• What specific goals do you want to achieve with NLP?
• What types of textual data can your business provide or need to analyze?
• What are the main linguistic and cultural barriers encountered in your data?
• How do you assess the quality and accuracy required for your NLP applications?
• What current processes could be improved or automated with NLP?
• How do you plan to integrate NLP solutions into your existing IT systems?
• What are the compliance and security requirements for data processed by NLP?
• How do you plan to measure the return on investment of NLP projects?
• What skills are available internally for the development and maintenance of NLP solutions?
• How will you manage the updating and evolution of NLP models as data and needs change?