Re-Think Growth marketing 🚀 — The Ascent of AI marketing🦿 #27
As of January 2023, GitHub reported having over 100 million developers, including at least 28 million public repositories.

Re-Think Growth marketing 🚀 — The Ascent of AI marketing🦿 #27

Most marketers don’t have a computer science or an AI degree. This newsletter is an introduction to the implementation of data science in growth hacking. Grab your FREE Google Colab account and learn and play today.

Thank you, dear readers; this 27th edition marks the end of this newsletter in its current form. Maybe a few of you know, but I shifted careers from growth hacking to growth engineering. Since I always follow my curiosity, including you on my journey to perfecting my craft makes sense.

Short backstory: I have learned the code myself since 2017 and learned a lot about how programming isn’t explained well to us marketers; being good with people isn’t often correlated with being good at logical reasoning.

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80% of companies in 2023 stated that they wanted to adopt the technologies analyzing customers’ sentiments from their reviews or social media. (Bain&Company)

Sentiment Analysis 🦾

WHAT: Sentiment analysis is using computer vision to analyze digital text to determine if the emotional tone of the message is positive, negative, or neutral.


WHY: Your audience gives so many hidden gems within their comments, communities, and reviews, which are hard to process if you have to go to hundreds of pieces of data. Using sentiment analysis, rapidly optimize your product or service with customer feedback, you can optimize chatbots, lead nurture flows, content idea generation, enhancement of readers' intent, etc.

HOW:

  • ⚡ Use the old-fashioned pre-trained word-based models like VADER and TextBlob (quick, not so accurate)
  • 🐌 Fine-tuning large language models, like BERT on your dataset. (medium speed, very accurate)
  • 🐋 Training your own deep learning model for sentiment analysis using Keras.

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Here you have a basic script to test the limits of VADER.

AI Content of this week🤓:

  • 📖 Super Intelligence by Nick Bostrom, written in 2014, is a philosophical exploration of the advent of AGI, or how artificial general intelligence would be made and how it would most likely interact with humans. It's interesting to read/listen to how much AI has developed in the last nine years.

  • 📝 Google “We Have No Moat, And Neither Does OpenAI” — Leaked Internal Google Document Claims Open Source AI Will Outcompete Google and OpenAI. Interesting read how a google engineer believes that opensource development will win the race in this AI supremacy arms race.
  • 🎙 ️Dr. Michio Kaku, on the Joe Rogan Podcast on how quantum computers and AI are intertwined. The digital world can’t evolve without the help of hardware, and besides the race towards AGI, we are also locked in a race to who will build the first quantum computer.


Please leave a like and subscribe and thanks for all your support! 🙏

Today I have webinar at 16:00 Amsterdam timezone on sentiment analysis.

CHESTER SWANSON SR.

Realtor Associate @ Next Trend Realty LLC | HAR REALTOR, IRS Tax Preparer

1y

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