Certificate in Advanced Text Analysis Approaches with AI Technology
-- viendo ahoraThe Certificate in Advanced Text Analysis Approaches with AI Technology is a comprehensive course designed to empower learners with cutting-edge skills in text analysis using Artificial Intelligence. This course is critical in today's data-driven world, where businesses generate vast amounts of unstructured text data daily.
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Detalles del Curso
โข <strong>Natural Language Processing (NLP)</strong>: Understanding the basics of NLP, including tokenization, part-of-speech tagging, and named entity recognition.<br> โข <strong>Machine Learning (ML)</strong>: Exploring various ML algorithms, including supervised, unsupervised, and reinforcement learning, and their applications in text analysis.<br> โข <strong>Deep Learning (DL)</strong>: Delving into the use of neural networks, including convolutional and recurrent neural networks, for text analysis.<br> โข <strong>Sentiment Analysis</strong>: Examining techniques for determining the sentiment of a given text, including polarity detection and emotion analysis.<br> โข <strong>Topic Modeling</strong>: Learning about algorithms for discovering hidden thematic structures in a text corpora, including Latent Dirichlet Allocation and Non-negative Matrix Factorization.<br> โข <strong>Named Entity Recognition (NER)</strong>: Understanding the process of identifying and categorizing key information in text, such as names of people, organizations, and locations.<br> โข <strong>Semantic Analysis</strong>: Examining techniques for understanding the meaning of text, including word sense disambiguation and semantic role labeling.<br> โข <strong>Text Classification</strong>: Learning about techniques for categorizing text based on its content, including Naive Bayes and Support Vector Machines.<br> โข <strong>Text Summarization</strong>: Understanding the process of automatically generating a short summary of a given text, including extractive and abstractive methods.<br> โข <strong>Transfer Learning</strong&
Trayectoria Profesional
Requisitos de Entrada
- Comprensiรณn bรกsica de la materia
- Competencia en idioma inglรฉs
- Acceso a computadora e internet
- Habilidades bรกsicas de computadora
- Dedicaciรณn para completar el curso
No se requieren calificaciones formales previas. El curso estรก diseรฑado para la accesibilidad.
Estado del Curso
Este curso proporciona conocimientos y habilidades prรกcticas para el desarrollo profesional. Es:
- No acreditado por un organismo reconocido
- No regulado por una instituciรณn autorizada
- Complementario a las calificaciones formales
Recibirรกs un certificado de finalizaciรณn al completar exitosamente el curso.
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Preguntas Frecuentes
Tarifa del curso
- 3-4 horas por semana
- Entrega temprana del certificado
- Inscripciรณn abierta - comienza cuando quieras
- 2-3 horas por semana
- Entrega regular del certificado
- Inscripciรณn abierta - comienza cuando quieras
- Acceso completo al curso
- Certificado digital
- Materiales del curso
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