Natural Language Processing (NLP) Data: Definiton, Examples & Datasets
What is Natural Language Processing (NLP) Data?
NLP data refers to any form of textual information that is used for training or evaluating natural language processing models. It includes text documents, speech transcripts, social media posts, customer reviews, and more. NLP data is processed and analyzed using machine learning algorithms to understand and extract meaning from human language, enabling tasks like sentiment analysis, language translation, chatbots, and text summarization.
Examples of Natural Language Processing (NLP) data include text documents, social media posts, customer reviews, chat logs, and news articles. NLP data is used for tasks such as sentiment analysis, language translation, text classification, named entity recognition, and speech recognition. In this page, you’ll find the best data sources for NLP data.
Best Natural Language Processing (NLP) Datasets & APIs
Nexdata | Audio Annotation Services | AI-assisted Labeling |Speech Data | AI Training Data | Natural Language Processing (NLP) Data
WebAutomation Off the Shelf Datasets | Audio Data for AI & ML Training | 600+ Hours of Recording | Speech Recognition, Natural Language Processing
Nexdata | Large Language Model Data | SFT Data| Pre-training Data| LLM Data|Text AI & ML Training Data | Natural Language Processing (NLP) Data
Kieli NLP Data - Fully-labelled dataset of Arabic language for Machine Learning & AI platforms
TAUS Language Translation Data | Parallel translation for E- Commerce, various language pairs
Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects
Nexdata |Multilingual Native & Accented English Speech Data |40,000 Hours | Audio Data|Speech Recognition Data| Natural Language Processing (NLP) Data
Knuckle Head Data Annotation and Labelling Services (NLP Data for English, French, Spanish, Italian, Portuguese, Japanese, Indian)
