Sentiment Analysis Courses and Certifications

Natural Language Processing in TensorFlow

6537 ratings at Coursera

Learn to process text, tokenize sentences, and apply RNNs, GRUs, and LSTMs in TensorFlow for natural language processing tasks, including sentiment analysis and poetry generation.

• Coursera
• 23 hours 7 minutes
• Self-Paced
• Paid Course

Harnessing Transformers with Hugging Face

Master Transformer architectures using Hugging Face ecosystem, exploring BERT, GPT-2, and T5 models through hands-on projects in sentiment analysis, text generation, and question answering.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

DSPy Programming

Master DSPy framework fundamentals: install, program, and optimize AI systems using language models, signatures, and modules for advanced reasoning and classification tasks.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Career Certificate

Python for AI

Master Python web development with AI integration by building a sentiment analysis app using Flask and OpenAI API, covering deployment and error handling.

• VDCI
• 30 hours
• Self-Paced
• $1,895.00

Career Certificate

Python Machine Learning Advanced

Master NLP and Flask to build production-ready apps, covering text preprocessing, sentiment analysis, TF-IDF vectorization, and ML-powered recommendation engines.

• VDCI
• 30 hours
• Self-Paced
• $1,895.00

Career Certificate

Python for AI: Create AI Apps with Flask & OpenAI

Master building AI-powered web apps with Flask and OpenAI, creating a sentiment analysis application while integrating AI-driven features into your Python projects.

• VDCI
• 30 hours
• Self-Paced
• $1,895.00

Natural Language Processing with Classification and Vector Spaces

4638 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 9 hours 23 minutes
• Self-Paced
• Paid Course

Career Certificate

Natural Language Processing

6194 ratings at Coursera

Explore cutting-edge NLP techniques to analyze text, build language models, and create AI applications. Gain hands-on experience in sentiment analysis, machine translation, and chatbot development.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Developing AI Applications with Python and Flask

1372 ratings at Coursera

Develop AI-enabled applications using Python, Flask, and Watson libraries. Learn web app deployment, unit testing, and packaging for real-world distribution.

• Coursera
• 11 hours 40 minutes
• Self-Paced
• Paid Course

Natural Language Processing with Probabilistic Models

1784 ratings at Coursera

This is the Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 6 hours 25 minutes
• Self-Paced
• Paid Course

Natural Language Processing with Sequence Models

1183 ratings at Coursera

Train neural networks for sentiment analysis, text generation, named entity recognition, and question comparison using advanced NLP techniques like GLoVe embeddings, GRUs, LSTMs, and Siamese models.

• Coursera
• 21 hours 6 minutes
• Self-Paced
• Paid Course

Career Certificate

Social Media Analytics

19 ratings at Coursera

Master advanced social media analytics skills, from machine learning to network analysis. Gain practical insights to influence consumer behavior and enhance digital marketing strategies.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Artificial Intelligence in Social Media Analytics

Explore AI's role in social media analytics. Learn machine learning, NLP, sentiment analysis, and topic modeling. Apply techniques to real data, uncovering patterns and insights in digital interactions.

• Coursera
• 16 hours 51 minutes
• Self-Paced
• Paid Course

Natural Language Processing and Capstone Assignment

50 ratings at Coursera

Explore natural language processing, sentiment analysis, topic modeling, and emerging trends in data science. Apply learned techniques to develop a comprehensive data analytics plan.

• Coursera
• 4 hours 56 minutes
• Self-Paced
• Paid Course

Applying Data Analytics in Marketing

202 ratings at Coursera

Explore data-driven marketing decisions through causal, survey, textual, and network analysis techniques. Learn to leverage customer satisfaction data for improved marketing strategies.

• Coursera
• 16 hours 14 minutes
• Self-Paced
• Paid Course