📘Sentiment Analysis with AI: A guide

Plus: Every US Agency Will have an AI Officer.

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Yaro Celis
March 29, 2024

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Good Friday is Here,

Hope you had a great week and that you enjoyed your weekend. If you have some time play with our sentiment guide and tell us what you think It can help you get a better idea about what your customers/readers think about your product or service. Should you have any questions, please feel free to contact us.

This is what we have today:

  • Sentiment Analysis with AI: A Guide

  • No Privacy in the Age of Tech Giants

  • Identify and find your customers with AI. M1-Project

  • Every US Agency Will have an AI Officer

  • 📰 Publications I am currently reading and recommending

  • 📰 News and Trends

  • 🧰 AI Tools (Automation Workflows)

  • AI-Powered Virtual Influencer Lands Job on Spanish Television (Oddity)

  • This AI model spots workplace accidents before they happen (TNW)

  • Google.org launches $20M generative AI accelerator program (TC)

  • Here’s why AI search engines really can’t kill Google (TheVerge)

🌐 Other Tech news

  • Four Canadian school boards sue TikTok, Meta, and Snapchat (Axios)

  • The FDA did not inspect Neuralink before granting human trial approval (Neoscope)

  • With TikTok Under Fire, Brands That Rely on It Worry (NYT)

  • SBF’s prison sentence marks the end of the crypto grift era — so what’s next? (TC)

Sentiment Analysis with AI

Text sentiment analysis is a technique used to determine the emotional tone or attitude conveyed by a piece of text, such as positive, negative, neutral, or even sarcastic! It's like trying to understand how someone feels based on what they say. Computers can do this by analyzing words and phrases, kind of like how you might read a friend's text message and go, "Oh, they sound happy!" or "Uh-oh, they sound mad!"

  • Step 1 - Gather your Data. -You can use data from any of your platforms:

    1. Social media platforms like Linkedin, YouTube, and Instagram,

    2. Online reviews, and rating websites like Yelp, Amazon, and TripAdvisor.

    3. News articles and websites like CNN, BBC, and The NYT.

    4. Blogs and forums where people share their thoughts and opinions.

    5. Online surveys and feedback forms.

    6. Customer service chat logs and email conversations.

Comments from a NYT article - We copied and pasted them into ChatGPT

  • Step 2: Copy and paste your data or save it in files ready for upload. This data can then be fed into AI models such as ChatGPT, Claude, or Google Gemini for analysis.

  • Step 3: Utilize the uploaded data along with the below specific prompts to perform sentiment analysis. This process helps in understanding the emotional tone behind a body of text, which can be particularly useful for gauging public opinion, market research, and more.

  • Step 4: Here are some prompts to help you get the best sentiment analysis using AI:

    1. Analyze the sentiment of this text: [insert text]

    2. Classify the sentiment of this text as positive, negative, neutral, or mixed.

    3. What is the overall sentiment of this text?

    4. Determine the sentiment score (on a scale of 1-10) for this text

    5. Identify the emotions expressed in this text.

    6. Is the tone of this text: enthusiastic, critical, sarcastic, or neutral?

    7. Summarize the sentiment of this text in a few words.

Output from “What is the overall sentiment of this text?” Prompt.

Remember to format your prompt clearly, and AI (i.e. ChatGPT, Claude3, Gemini) will do its best to provide an accurate sentiment analysis, Get creative with your prompts and enjoy. You can also ask to place the output on tables for create graphs and visual guides.

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Every US Agency Will have an AI Officer

President Biden has directed all U.S. federal agencies to appoint a chief AI officer within 60 days, aiming to manage and maximize artificial intelligence (AI) responsibly.

These officers will guide AI initiatives, ensuring they align with safety and ethical standards, and promote public good. Their tasks include overseeing AI's application across various societal challenges, from public health to climate change, and correcting any non-compliant AI uses by a set deadline. This move is part of a broader strategy to enhance AI safety, security, and equity, marking a significant step in integrating AI into government operations while addressing potential risks and ethical concerns.

📰 Publications I am currently reading and recommending:

  • 1-Minute Question - Based on Neuroscience Science Practices to rewire your brain for success.

  • How Brands Win - Distills the strategies behind great brands. And gives you actionable insights for your business.

  • The Business Academy - Learn to be a better investor in 6 minutes per week.

No Privacy in the Age of Tech Giants

The revelation of Facebook (now Meta) spying on Snapchat users between 2016 and 2019 through a tool called Onavo underscores the harsh reality of the tech industry: companies often view consumer data as a resource to be exploited, sometimes without consent.

This operation, dubbed "Ghostbusters," aimed to gather competitive intelligence, showing the lengths to which companies will go for market dominance. Coupled with Roku's recent consumer policy updates, these stories highlight a broader industry trend where user interests and privacy are secondary to corporate goals. Both instances serve as vivid reminders that, despite user-friendly facades, tech companies prioritize their interests, with consumer data being a prime target for their strategies.

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