Python Sentiment Analysis Project with NLTK and 🤗 Transformers. Classify Amazon Reviews!!

In this video you will go through a Natural Language Processing Python Project creating a Sentiment Analysis classifier with NLTK's VADER and Huggingface Roberta Transformers. The project is to classify the seniment of amazon customer reviews. 🤗 provides some great open source models for NLP: https://huggingface.co/models. We will look at the difference between model outputs from the two packages and compare the results. Seniment analysis is an important tool for data scientists to use in laguage modeling. Link to Kaggle Notebook: https://www.kaggle.com/robikscube/sentiment-analysis-python-youtube-tutorial Timeline: 00:00 Intro 01:10 Setup + NLTK 10:44 VADER Model 23:42 RoBERTa Model 35:51 Compare Results Follow me on twitch for live coding streams: https://www.twitch.tv/medallionstallion_ My other videos: Speed Up Your Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg Speed up Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg Intro to Pandas video: https://www.youtube.com/watch?v=_Eb0utIRdkw Exploratory Data Analysis Video: https://www.youtube.com/watch?v=xi0vhXFPegw Working with Audio data in Python: https://www.youtube.com/watch?v=ZqpSb5p1xQo Efficient Pandas Dataframes: https://www.youtube.com/watch?v=u4_c2LDi4b8 * Youtube: https://youtube.com/@robmulla?sub_confirmation=1 * Discord: https://discord.gg/HZszek7DQc * Twitch: https://www.twitch.tv/medallionstallion_ * Twitter: https://twitter.com/Rob_Mulla * Kaggle: https://www.kaggle.com/robikscube #nlp #python #machinelearning #huggingface