Sentence examples for many positive words from inspiring English sources

But there were not many positive words from Westwood.

Osterhammel, who spent four years at the German Historical Institute in London, finds many positive words for Britain's part in developing global networks in the 1800s in general.

How could so many positive words – "regeneration", "vision", "culture" – plus so much public and private funding, plus so much scrutiny by bodies such as the Commission for Architecture and the Built Environment, have led to what now stands on Liverpool's waterfront?

This workshop really helped me be more aware of how to broadcast my skills and also to be more confident There were also many positive words for the volunteers: they made me feel very prepared for interviews and showed the reality and helped me a lot For further careers advice, go to Guardian Jobs.

Focusing on the words, we see that the OL dictionary finds many positive words increasing in frequency that are mostly generic.

This graph represents how "happy" the nation is doing from day to day, by looking at how many positive and negative words people are using when they update their status: When people are using more positive words (or fewer negative words) in their status updates than usual, that day is happier than usual!

For a week, Facebook showed people fewer positive or negative posts to people in News Feed, and then measured how many positive or negative words they included in their own posts.

Whether you would sign up to that theory depends on how much faith you put in sentiment analysis, which tries to mark pieces of text according to how many positive- or negative-sounding words they contain love, hate, good, bad, etc.

Despite nearly twice as many negative words in OL as positive words (at odds with the frequency-dependent positivity bias of language [5]), after examining the words which are the most differently scored and seeing how quickly the labMT scores move into the neutral range, we can conclude that these dictionaries generally agree with the exception of only a few bad matches.

The word "standards" carries many positive associations as what most people aspire to uphold.

DREME does this by counting how many positive and negative sequences contain each word, and computing the (uncorrected) p-value of the Fisher's Exact Test.