3 replies, 4 voices Last updated by MLynn 1 year, 11 months ago
  • Curtis Lynch
    Participant
    @curtislynch
    #3222

    Hey data enthusiasts! I’m knee-deep in a marketing project that involves analyzing customer reviews. Any personal stories or examples of using natural language processing or machine learning for sentiment analysis? What worked best for you?

    John
    Moderator
    @john
    #3287

    For sentiment analysis, I’ve had success using a combination of rule-based methods and machine learning algorithms. Rule-based approaches allow for precise control, while ML algorithms provide flexibility in capturing nuances

    Anonymous
    Inactive
    @
    #3288

    In my project, I used pre-trained language models like BERT for sentiment analysis. They already have a good understanding of language, so it saves time and delivers reliable results

    MLynn
    Keymaster
    @buddyboss
    #3761

    yes

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