Datasets

NLP dataset

Name: Bright Data
Rating: 4.5 (747 reviews)

Diverse data ensures a richer understanding of linguistic patterns and a more nuanced comprehension of user sentiment, leading to enhanced user experiences and smarter chatbot developments.

Available as a custom dataset
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NLP datapoints

We will build a NLP dataset based on your needs. NLP datasets typically include text samples such as social media posts, product reviews, customer service transcripts, forums, blogs, news articles, and more.

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Suministro de datos frescos

Alimentación programada de datos de registros nuevos o actualizados.

Recolección de Datos Conforme

Nuestras prácticas de privacidad cumplen con las leyes de protección de datos.

Recopilación de datos gestionada

Crearemos un conjunto de datos adaptado a sus necesidades.

Conjuntos de datos personalizables

Filtre y formatee los conjuntos de datos para adaptarlos a sus necesidades.

NLP datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

Suscripción

Diferentes formatos de salida de archivos

Conjuntos de datos en formato JSON, ndJSON, CSV o Excel

Múltiples opciones de entrega

Datos escalables

Escalar sin preocuparse por la infraestructura, servidores proxy o bloqueos

Campos de salida personalizados

Defina campos de salida personalizados para satisfacer requisitos empresariales específicos

Mantenimiento del código

Escalado de datos

Definición de servidores para gestionar grandes cantidades de solicitudes de datos

Soporte 24/7

Gestión de su recopilación de datos por un gestor de cuenta dedicado

Garantía de calidad de los datos

Garantice la fiabilidad y precisión de los datos para una mejor toma de decisiones

Get structured and reliable NLP data

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How companies use NLP datasets

CS automation

Chatbots and virtual assistants are trained using NLP datasets to understand user inquiries and respond appropriately. Customer service operations are improved by providing timely and contextually relevant responses, reducing response times, and improving customer satisfaction.

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Cybersecurity response

Businesses use NLP datasets to train algorithms to monitor and analyze communications and alerts for potential security threats. By understanding the linguistic patterns and technical terminologies associated with cyber threats, these NLP-driven tools can identify phishing attempts, malicious emails, and irregular communication that could indicate a breach.

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Consumer insights

NLP datasets are crucial for sentiment analysis, in which businesses analyze text data like customer reviews to determine public opinion. Companies can use this process to understand better consumer emotions, which will help them develop marketing strategies and products.

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