NLP Pipelines: From Data to Deployment
NLP Pipelines: From Data to Deployment A successful NLP project follows a clear path from data to a live service. It should be repeatable, explainable, and easy to improve. The work is not just about building a model; it is about shaping data, choosing the right techniques, and watching the system perform in the real world. With thoughtful design, teams can move from ideas to reliable outcomes faster. Data collection and labeling: Gather text from relevant sources such as customer reviews, chat logs, or open datasets. Define labeling guidelines to keep annotations consistent. Start with a small, high-quality seed set to test ideas before scaling up. Clear provenance helps reproduce results later. ...