The hottest Sentiment Analysis Substack posts right now

And their main takeaways
Category
Top Technology Topics
Spilled Coffee 68 implied HN points 08 Feb 25
  1. All major stock indexes ended the week down, showing a shift in market sentiment. This can indicate a possible change in the current bull market.
  2. Despite the recent downturn, some key stocks like Nvidia are bouncing back, and the overall market remains strong as the S&P 500 is near its all-time high.
  3. Historically, February is known for being a tough month for stock performance, especially after Valentine’s Day, which could be a concern for investors.
Spilled Coffee 84 implied HN points 25 Jan 25
  1. The stock market has reached new all-time highs after a rough start to January, showing strong growth. The S&P 500, Nasdaq, and Dow have all seen gains already in the new year.
  2. There is a clear uptrend in the market as more stocks are moving upward, indicating a bull market. Historically, new highs in the market often ensure continued growth.
  3. Investor sentiment shifted from bearish to more positive as the market bounced back. When many investors lean towards negativity, it often leads to a rebound in optimism.
The Last Bear Standing 49 implied HN points 03 Jan 25
  1. Market sentiment is influenced by human emotions and can swing widely, affecting prices up and down. This means that even if things look strong, feelings can drive prices lower.
  2. Historically, the market goes through cycles of growth and decline, shaped by economic changes and human behavior. We can learn from the past to understand current trends.
  3. While recent years saw some major challenges, like inflation and market drops, the economy proved resilient. New investments helped start a fresh period of growth and optimism.
Deep-Tech Newsletter 39 implied HN points 24 Jun 20
  1. Big Tech heavily contributes to open source projects on GitHub, even though they can influence the project's direction.
  2. Amazon has faced criticism for potentially hindering open source startups by offering competing services on AWS.
  3. Google leads in positive sentiment towards open source, followed closely by Microsoft, while Amazon received a lower score due to recent backlash.
mayt writes 1 HN point 02 Aug 23
  1. Large Language Models (LLMs) can process unstructured text data to find information, summarize, and answer basic questions.
  2. Developers face challenges in handling unstructured data generated by LLMs and desire structured outputs for easier processing.
  3. By using novel features like function calling in LLMs, structured data can be generated for specific tasks like sentiment analysis, making data handling more efficient.
Get a weekly roundup of the best Substack posts, by hacker news affinity: