Natural Language Processing (NLP)

Ravi Avaiya

Starting at

/hr

About this service

Summary

Natural Language Processing (NLP) is a branch of AI that focuses on enabling computers to understand, interpret, and generate human language. It powers applications like chatbots, sentiment analysis, machine translation, and text summarization.

What's included

Text Classification
Categorizing text into predefined labels or categories. Examples: Spam email detection. Sentiment analysis (positive, negative, neutral). Document classification (e.g., news articles, product reviews). Tools: Scikit-learn, TensorFlow, Hugging Face, NLTK.
Machine Translation
Description: Translating text from one language to another. Examples: Multilingual chatbots. Website or document translation. Tools: Google Translate API, OpenNMT, Hugging Face Transformers
Text Summarization
Description: Generating shorter versions of text while retaining key information. Examples: News article summarization. Meeting minutes summarization. Types: Extractive (extracts key sentences). Abstractive (generates new sentences). Tools: Hugging Face, Gensim, T5 (Transformer model).

Example projects