Textblob
Explore TextBlob for NLP tasks: preprocessing, sentiment analysis, and text vectorization. Learn to clean text data, handle stopwords, and implement sentiment analysis using Python.
HuggingFace Crash Course - Sentiment Analysis, Model Hub, Fine Tuning
Comprehensive introduction to HuggingFace and Transformers library, covering sentiment analysis, Model Hub exploration, and fine-tuning techniques for NLP tasks.
科技：如何面對快速進步的科技？ChatGPT教我的事
探討如何應對快速變化的科技時代，分享AI研究經驗和實際應用案例。強調成為科技的主人，並介紹創新打擊假新聞的方法。
ML and MLOps with Databricks: LLMs Using HuggingFace Transformers - Spanish
Explora LLMs con HuggingFace Transformers en Databricks: summarization, traducción, an álisis de sentimientos, zero-shot y few-shot prompting.
Opportunities from Social Media Data for Public Health
Explore social media's potential in public health research and interventions. Learn data analysis techniques for extracting valuable health insights from online platforms.
Building World-Class NLP Models with Transformers and Hugging Face
Learn to build advanced NLP models using transformers and Hugging Face. Kaggle Grandmasters share insights on question answering, sentiment extraction, and multilingual classification in this comprehensive tutorial.
Python Sentiment Analysis Project with NLTK and Transformers - Classify Amazon Reviews
Learn to classify Amazon review sentiment using NLTK's VADER and Huggingface's RoBERTa models in Python. Compare results and gain practical NLP skills for language modeling and data science.
Negativity and Semantic Change - Will Hamilton, Stanford University
Explore dynamic word embeddings to test semantic instability in negative vs. positive language, with implications for sentiment analysis tools and linguistic evolution.
Redefining Workforce Engagement with Contact Center AI
Explore how Contact Center AI revolutionizes customer service, enhancing workforce engagement through efficient processes, sentiment insights, data-driven evaluations, and augmented coaching workflows.
Simplifying Testing of Spark Applications
Learn techniques to simplify testing Spark applications, covering Python UDFs, Pandas UDFs, and functional APIs. Explore practical scenarios and demos for efficient data processing and analysis.
The Science of Stories: Measuring and Exploring the Ecology of Human Stories with Lexical Instruments
Explore the use of lexical meters to measure social and cultural phenomena through social media and text analysis, uncovering insights into human behavior and storytelling.
Streaming Data Enrichment and Analysis with Redpanda, CDC, and Python
Explore real-time data enrichment using streaming platforms, Debezium for CDC, and Python-based ML for sentiment analysis. Learn strategies for data aggregation and visualization in modern streaming architectures.
Swift and ReactiveCocoa - Better Together
Explore ReactiveCocoa and Swift integration for elegant, functional reactive programming in iOS development. Learn practical examples and advanced techniques for efficient data handling.
Automated Web Scraping in R Using Rvest
Learn to automate web scraping in R for real-time data analysis. Covers periodic scraping, filtering timely content, text analysis, and setting up hourly email alerts for changing events and trends.
Unstructured Text With Python, Microsoft Cognitive Services & PowerBI
Explore text analytics and sentiment analysis using Python, Microsoft Cognitive Services, and Power BI. Learn industry applications, overcome challenges, and visualize results beyond tag clouds.
Real-time Chat Sentiment Analysis with Next.js, FastAPI, and Python - GPT-4 Implementation
Explore real-time chat sentiment analysis implementations using Python, FastAPI, and Next.js with GPT-4 integration for advanced AI-powered text analysis.
Facebook Data and Machine Learning for Election Prediction
Explore how machine learning and Facebook data analysis can predict election outcomes, examining privacy concerns, algorithmic bias, and the impact on voter behavior.
Leveraging Sentiment and Topic Detection Analysis for Decoding Player Feedback in the Video Games Industry
Discover how sentiment analysis and topic detection techniques transform player feedback into actionable insights for game development, from traditional methods to advanced AI applications.
AI-Powered Music Recommendations Based on Mood and Vibe
Discover how AI and vector embeddings can revolutionize music recommendations by analyzing song vibes and moods through LLMs and transformer models for more personalized listening experiences.
PyTorch Sentiment Classifier From Scratch With Huggingface NLP Library - Full Tutorial
Build a sentiment classifier using PyTorch, BERT, and Huggingface's NLP library. Learn to process datasets, tokenize text, create tensors, and implement training steps for an IMDB sentiment analysis model.
TensorFlow Tutorial - TensorFlow Datasets
Learn to use TensorFlow Datasets for loading, preprocessing, and modeling image and text data. Covers MNIST image classification and IMDB sentiment analysis with practical examples and code demonstrations.