nlp-expert

What problem does it solve?

The NLP Expert provides practical guidance and ready-to-run patterns to convert raw text into structured, semantically meaningful representations for search, classification, summarization, and conversational agents, reducing experimentation time and integration friction.

Core Features & Use Cases

• Text Preprocessing: standardized tokenization, stopword removal, and lemmatization to prepare corpora for downstream models.
• Classification & Sentiment: examples for using transformer-based classifiers and fine-tuning for domain sentiment analysis.
• NER, QA & Summarization: recipes for named entity extraction, question answering pipelines, and abstractive summarization.
• Embeddings & Semantic Search: sentence-transformer embeddings, cosine-similarity search, and RAG-based chatbot patterns with vector stores.
• Text Generation & Chatbots: generation examples and retrieval-augmented generation flows for conversational agents.
• Use Case: preprocess customer reviews, compute embeddings, run semantic search to surface policy-related comments, and classify sentiment for prioritization.

Quick Start

Use the nlp-expert to preprocess a corpus of customer reviews, generate sentence-transformer embeddings, and run a semantic search for "refund policy".