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) Data Databases & Datasets
Here is Datarade's curated selection of top Natural Language Processing (NLP) Data. These trusted databases and datasets offer high-quality, up-to-date information.
Nexdata | Large Language Model Data | SFT Data| Pre-training Data| LLM Data|Text AI & ML 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 | In-Car Speech Data | 15,000 Hours | AI & ML Training Data| Speech Recognition Data| Audio Data |Natural Language Processing (NLP) Data
Coresignal | Job Postings Data | Largest Professional Network + Indeed Jobs + 3 Other Sources | Global / 399M+ Records / Updated Monthly
TAUS Language Translation Data | Parallel translation for E- Commerce, various language pairs
AI & ML Training Data | Artificial Intelligence (AI) | Machine Learning (ML) Datasets | Deep Learning Datasets | Easy to Integrate | Free Sample
Kieli NLP Data - Fully-labelled dataset of Arabic language for Machine Learning & AI platforms
Nexdata | Audio Annotation Services | AI-assisted Labeling |Audio Data | AI & ML Training Data | Natural Language Processing (NLP) Data
Data for AI & ML Training | Web Data Extraction Services for AI Applications | Custom Web Data | Real-time Insights from Quality Data | PromptCloud
Coresignal | Web Data | Job Postings Data | Largest Professional Network + Indeed Jobs + 3 Other Sources | Global / 399M+ Records / Updated Monthly
Popular Use Cases
Natural Language Processing (NLP) Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
Frequently Asked Questions
Where can I buy Natural Language Processing (NLP) Data?
Data providers and vendors listed on Datarade sell Natural Language Processing (NLP) Data products and samples. Popular Natural Language Processing (NLP) Data products and datasets available on our platform are Nexdata | Large Language Model Data | SFT Data| Pre-training Data| LLM Data|Text AI & ML Training Data | Natural Language Processing (NLP) Data by Nexdata, WebAutomation Off the Shelf Datasets | Audio Data for AI & ML Training | 600+ Hours of Recording | Speech Recognition, Natural Language Processing by Webautomation, and Nexdata | In-Car Speech Data | 15,000 Hours | AI & ML Training Data| Speech Recognition Data| Audio Data |Natural Language Processing (NLP) Data by Nexdata.
How can I get Natural Language Processing (NLP) Data?
You can get Natural Language Processing (NLP) Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Natural Language Processing (NLP) Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Natural Language Processing (NLP) Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Natural Language Processing (NLP) Data?
Natural Language Processing (NLP) Data is similar to Annotated Imagery Data, Machine Learning (ML) Data, Deep Learning (DL) Data, Synthetic Data, and Logo Data. These data categories are commonly used for Deep Learning and Data Science.
What are the most common use cases for Natural Language Processing (NLP) Data?
The top use cases for Natural Language Processing (NLP) Data are Deep Learning and Data Science.