NLP: Twitter Sentiment Analysis
Learn to develop a text preprocessing pipeline, understand the theory behind Naive Bayes classifiers, and evaluate their effectiveness after training.
Description for NLP: Twitter Sentiment Analysis
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Coursera Project Network
Duration: 2 hours
Schedule: Flexible
Pricing for NLP: Twitter Sentiment Analysis
Use Cases for NLP: Twitter Sentiment Analysis
FAQs for NLP: Twitter Sentiment Analysis
Reviews for NLP: Twitter Sentiment Analysis
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for NLP: Twitter Sentiment Analysis
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.
Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.
Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.
Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.
Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.
Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.
Featured Tools
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Explore the fundamentals, applications, ethical implications, and future trends of generative AI in human resources.
The "Generative AI Applications and Popular Tools" course provides a comprehensive exploration of chatbot technology and popular Generative AI tools. It targets a diverse audience interested in enhancing their skills in these areas, offering accessibility to both beginners and professionals, regardless of prior knowledge in AI and programming.
Learn the Rasa framework to create AI-powered chatbots, which is suitable for Python programmers who are new to chatbot development and lack prior machine learning experience. This course covers the fundamental components and practical applications.
Learn to construct and implement prediction functions, understand overfitting and error rates, and grasp machine learning techniques like classification trees and regression.