Text Classification in Tensorflow - DLMC40

Sir Syed University of Engineering & Technology - Karachi, Pakistan

Today we will classify movie reviews as positive or negative using the text of the review. This is an example of binary—or two-class—classification, an important and widely applicable kind of machine learning problem. We'll use the IMDB dataset that contains the text of 50,000 movie reviews from the Internet Movie Database and will learn text Classification using NLP.

Mar 8, 2021, 3:00 – 4:00 PM

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Key Themes

Machine Learning

About this event

Today we will classify movie reviews as positive or negative using the text of the review. This is an example of binary—or two-class—classification, an important and widely applicable kind of machine learning problem. We'll use the IMDB dataset that contains the text of 50,000 movie reviews from the Internet Movie Database and will learn text Classification using NLP.

Speaker

  • Muhammad Huzaifa Shahbaz

    Lenaar Digital

    Co-founder

Partners

Amal4Ajar logo

Amal4Ajar

IEEE SSUET - Student Branch logo

IEEE SSUET - Student Branch

IEEE Computer Society SSUET logo

IEEE Computer Society SSUET

Office of Research, Innovation & Commercialization - ORIC logo

Office of Research, Innovation & Commercialization - ORIC

Organizers

  • Laiba Rafiq

    GDSC Lead

  • Maaz Farman

    SPARK⚡BIZ

    Community Mentor

  • shayan faiz

    techrics

    Outreach Coordinator

  • Muhammad Ahmer Zubair

    Sharp Edge

    Media Creative Lead

  • Ehtisham Ul Haq

    Tech Lead

  • Mohammad Nabeel Sohail

    AI and Chatbot Developer | Full Stack Web | PAFLA Ambassador | Public Speaker | Trainer

    Communications Lead

  • Kashan Khan Ghori

    Softseek International

    Operations Lead

  • Daniyal Jamil

    Technology Links

    Marketing Lead

  • Sami Faiz Qureshi

    ConciSafe

    Event Management Lead

  • Maham Amjad

    Content Writing Lead

  • Syed Affan Hussain

    HnH Soft Tech Solutions Pvt Ltd

    Host

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