Watch the full tutorial at:
https://www.youtube.com/watch?vOSrlJ8XE2kU

As part of my internship at ProgrammersTech, I recently completed a Sentiment Analysis program using Natural Language Processing (NLP) and Machine Learning. This project focuses on analyzing sentiment data from Twitter to gauge public opinion and sentiment trends.

Goal: The primary goal of this project is to determine the sentiment of tweets and classify them into categories such as Positive, Negative, Neutral or Irrelevant.

Project Highlights:
– Analyzed thousands of tweets using advanced NLP techniques
– Implemented machine learning algorithms for sentiment classification
– Gained valuable insights into trends in public sentiment

Enhanced Skills:
– Natural Language Processing (NLP)
– Data processing
– Machine learning
– Data analysis

Watch the video to see the project in action and learn more about the methodologies and tools used.

Contact us:
If you need any help or would like to see the code, please feel free to reach out via DM! I'm always happy to connect and share knowledge.

Connect with me:
LinkedIn profile: www.linkedin.com/in/asadullahkhan0401
GitHub repository: https://github.com/ogasadkhan/Internn…

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Hashtags:
#SentimentAnalysis #NLP #MachineLearning #DataScience #Stage #ProgrammersTech #TwitterData #AI #BigData #DataAnalytics #DataScientist #TextMining #PredictiveAnalytics #DataDriven

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