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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
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* Kaggle: https://www.kaggle.com/robikscube

#nlp #python #machinelearning #huggingface