Through sentiment analysis, we can take thousands of tweets about a company and judge whether they are generally positiv

The notes we take aren’t just bits of new information. They’re breeding grounds for curiosity, creativity, and natural human responses. This system has helped me to process all the information I’m receiving in my meetings in a more effective and engaging way. My brain loves compartmentalizing things.

First, we give our app a name. It has to be unique, so be creative. We will receive our API keys; this is the only time we will see them, so keep them somewhere safe (and secret)!

Now, women are more educated to identify even the more subtle forms of emotional and psychological abuse, and more empowered to get out of those kinds of bad marriages sooner rather than later.

You can use this system not just with meetings, but in any area of work or life. Try it for yourself. It’s like a filing cabinet for your brain — one that stores what you need for whenever you need it.

This is for emotions and reactions. We are human beings, not robots that automatically absorb any information presented to us. Feeling is part of the processing. Our reactions and triggers help us to make sense of information, form opinions and convictions, and add value to the discussion.

You can use this system not just with meetings, but in any area of work or life. Try it for yourself. It’s like a filing cabinet for your brain — one that stores what you need for whenever you need it.

Couples like the one my grandmother witnessed are becoming increasingly rarer, thankfully. Women used to endure a lot of abuse in the past (physical and emotional) because divorce was either not an option legally speaking, or it was too taboo to even contemplate. Marriage was final, and if being abused was what being married was like, than that’s what being married was like, end of story.

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a decentralized organizational structure composed of data engineering pods reporting into product teams (as opposed to a single centralized Data Eng org). This model ensures data engineers are aligned with the needs of consumers and the direction of product, while ensuring a critical mass of engineers (3 or more). Team size is important for providing mentorship/leadership opportunities, managing data operations, and smoothing over staffing gaps.

“Dori Schwartz, a divorce mediator and coach says, ‘Today’s modern woman is more unlikely to put up with infidelity. Once the honeymoon period is over, some men drastically change their behavior from romantic to controlling and emotionally abusive. Unfortunately, this happens in many marriages, and women don’t want to take it anymore.’”

Why is it that popular culture depicts women as marriage-minded, but at the same time, women seem to be the ones who are quitting marriage in droves? What is it about marriage that disappoints women so deeply?

On the ‘How will you use the Twitter API or Twitter data?’ page, select yes or no, as shown above. I have put a few example answers here — these are only valid for this specific use-case, so please adjust them to your own needs where relevant.

On the other hand, women’s health doesn’t improve significally with marriage. In fact, women’s health is much more tied to the quality of the marriage. While even bad marriages seem to benefit men, women’s health suffers a bigger impact than men’s if the marriage is bad.

While I’d be the first to remind anyone that correlation doesn’t imply causation, as someone who’s deeply interested in studying human relationships, and as a woman who’s been married and asked for a divorce, I can’t help but speculate.

Many years ago, my grandmother attended a 70-year wedding anniversary party. The couple were in their 90’s. They smiled as they cut the cake together, and took pictures with their children, grandchildren and great-grandchildren.

Marriage benefits men more than it does women. Married men are happier and healthier than their unmarried counterparts, their careers also benefit, and married men are more likely than unmarried men to be in the top 1% of earners.