"Good feelings satiate and bad feelings escalate."
"Every time we see a shoot up higher in optimism that we're about to get out of the bear Market territory back into bull market what happens we see a reversal in the sentiment sours again the equities Market subsequently moves down the."
"This is a sentiment driven indicator and you can use that to your advantage to time the market correctly."
"Looking at the fear and greed index, it was in the 30s. People were terrified. Now we're right back up in the 70s. So it can change just like that. Always keep that in mind."
"It's really that time element that impacts sentiment and sentiment that drives markets in the end sentiment drives behavior and that to me is the most important thing."
"So now we have this review class that automatically fills out the positive or negative sentiment... we're getting there."
"Comments that mention Nick on average are more positive than comments mentioned on Melina."
"Americans aren't stupid guys and it's showing up in these sentiment indicators."
"You don't get a market reversal without getting a reversal in sentiment first."
"It's the purest reflection of sentiment, people are putting their money where their mouth is."
"Separating the knee-jerk reaction of doom and gloom from the reality."
"When there is blood on the streets and people are panicking and freaking out and people are telling me 'Don't invest,' that was a sign for me that sentiment was so negative it's actually the perfect time to invest."
"Sentiment analysis is very, very important because ICOs are largely bought and sold from speculators."
"The social risk has actually turned into one of my favorite ones because it really does give us a glimpse into overall sentiment at any given time."
"Sentiment changes over time, but there's also a chance we don't retrace."
"It literally does nothing if you try to defend yourself."
"Every trader goes through this wave of emotion, from extremely positive sentiment to extremely negative sentiment."
"Market sentiment has so much to do with where a price of a stock or commodity is going."
"Sentiment analysis: Sentiment analysis determines the author's feelings about a text, employing natural language processing and text analysis technology."
"Getting actionable insights from sentiment analysis goes beyond just looking at review numbers."
"Change of sentiment is a price increase."
"So, AI Builder allows you to analyze the overall sentiment of a text and even the sentiment of each sentence."
"This is like a microcosm of market research, they're effectively doing polling and sentiment analysis allowing the desires of the people to inform a lot of their decisions."
"Text analytics can perform sentiment analysis, so find out what people think about your brand or topics."
"Sentiment Analysis where you have a paragraph and it will tell you the sentiment."
"This project is all about using sentiment analysis to understand financial news and make decisions on stocks."
"We're going to accumulate as many headlines as we can and then run sentiment analysis on the text of those headlines."
"...we're wrapping up our sentiment analysis of stocks from financial news project..."
"...that's exactly what we did...applied it to a pandas data frame and calculated the sentiment analysis using Vader..."
"What is sentiment analysis? It's a natural language processing technique that allows us to classify text and speech as either positive or negative, subjective or objective."
"The polarity range will be from negative one, which means it's a negative sentiment, to one, which means it's a positive sentiment."
"Sentiment analysis is used in a whole wide range of fields."
"The sentiment analysis returns a sentiment score between 0 and 1, where 1 is positive and 0 is negative."
"Let's take a deeper look at sentiment analysis."
"Using sentiment analysis and scraping from Twitter, we were able to get the top book."
"The fear and greed index is a fantastic way to gauge what people are feeling emotionally."
"Sentiment analysis is widely used for understanding social sentiments for trending topics."
"Machine learning based sentiment analysis trains ML models to recognize the sentiments based on the words used in a sentence and the order of those words."
"By applying NLP, you can see that people are generally pretty happy about your hats."
"This seems to be more positive than negative, at least according to this coding approach that we're using here with our sentiment lexicon-based sentiment analysis."
"Sentiment analysis is a process of determining whether the text is positive, negative, or neutral."
"Qualtrics is allowing thousands of organizations to... get human sentiment about how they're doing."
"They can take natural language and do sentiment analysis on it."
"In just a few seconds, you saw me basically build a sentiment classifier just by writing this type of text prompt."
"Bayes classifiers are actually pretty useful, even just for something like sentiment analysis."
"Love is more strongly associated with a positive sentiment than hate is associated with a negative sentiment."
"Performance for the sentiment model was okay, but during editing, I couldn't help thinking that this could be so much better."
"Pretty cool, right? So like, that's a lightweight sentiment model so it's chasing my head around."
"We have an API called the Cloud Natural Language API which can actually detect sentiment in individual's chat messages."
"If you're interested in doing sentiment analysis on a bunch of text, you can use the data in your own inbox."
"Sentiment analysis has actually been a really common and important application in natural language processing."
"The idea of sentiment analysis is very large, huge."