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CAN COMPUTER MEASURE HAPPINESS?
In a fascinating study, researchers asked volunteers to rate words in the English language from one to nine on a “scale of happiness”. Words associated with feeling good (1) ______ scored highly: “laughter”, for example, received a score of 8.5 on the scale, (2) ______ words connected with sadness didn’t score well at all. Using this (3) ______, the researchers developed a computer program which analysed millions of messages posted by users of social networking sites, (4) ______ their happiness according to the words they used in their on-screen messages. They found that happiness (5) ______ to reach a high point during weekends, and drop again when people return to work after a (6) ______. They also discovered that, on an (7) ______ day, people feel happier in the morning and less (8) ______ as the day wears on. Whether the results are an accurate evaluation of how happy people are (9) ______ unclear. Can a computer program really understand the message (10) ______ the words? Probably not.

1. A. absolutely B. predictably C. probably D. automatically
2. A. yet B. whereby C. nevertheless D. whereas
3. A. document B. proof C. information D. fact
4. A. assessing B. advising C. inspecting D. choosing
5. A. aimed B. went C. moved D. tended
6. A. break B. gap C. stop D. pause
7. A. original B. average C. obvious D. alternate
8. A. so B. such C. much D. do
9. A. maintains B. keeps C. remains D. goes
10. A. underneath B. below C. over D. behind
 

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CAN COMPUTER MEASURE HAPPINESS?
In a fascinating study, researchers asked volunteers to rate words in the English language from one to nine on a “scale of happiness”. Words associated with feeling good (1) ______ scored highly: “laughter”, for example, received a score of 8.5 on the scale, (2) ______ words connected with sadness didn’t score well at all. Using this (3) ______, the researchers developed a computer program which analysed millions of messages posted by users of social networking sites, (4) ______ their happiness according to the words they used in their on-screen messages. They found that happiness (5) ______ to reach a high point during weekends, and drop again when people return to work after a (6) ______. They also discovered that, on an (7) ______ day, people feel happier in the morning and less (8) ______ as the day wears on. Whether the results are an accurate evaluation of how happy people are (9) ______ unclear. Can a computer program really understand the message (10) ______ the words? Probably not.

1. A. absolutely B. predictably C. probably D. automatically
2. A. yet B. whereby C. nevertheless D. whereas
3. A. document B. proof C. information D. fact
4. A. assessing B. advising C. inspecting D. choosing
5. A. aimed B. went C. moved D. tended
6. A. break B. gap C. stop D. pause
7. A. original B. average C. obvious D. alternate
8. A. so B. such C. much D. do
9. A. maintains B. keeps C. remains D. goes
10. A. underneath B. below C. over D. behind
Tham khảo nhé !
CAN COMPUTER MEASURE HAPPINESS?​
In a fascinating study, researchers asked volunteers to rate words in the English language from one to nine on a “scale of happiness”. Words associated with feeling good (1) ______ scored highly: “laughter”, for example, received a score of 8.5 on the scale, (2) ______ words connected with sadness didn’t score well at all. Using this (3) ______, the researchers developed a computer program which analysed millions of messages posted by users of social networking sites, (4) ______ their happiness according to the words they used in their on-screen messages. They found that happiness (5) ______ to reach a high point during weekends, and drop again when people return to work after a (6) ______. They also discovered that, on an (7) ______ day, people feel happier in the morning and less (8) ______ as the day wears on. Whether the results are an accurate evaluation of how happy people are (9) ______ unclear. Can a computer program really understand the message (10) ______ the words? Probably not.

1. A. absolutely B. predictably C. probably D. automatically
2. A. yet B. whereby C. nevertheless D. whereas
3. A. document B. proof C. information D. fact
4. A. assessing B. advising C. inspecting D. choosing
5. A. aimed B. went C. moved D. tended
6. A. break B. gap C. stop D. pause
7. A. original B. average C. obvious D. alternate
8. A. so B. such C. much D. do
9. A. maintains B. keeps C. remains D. goes
10. A. underneath B. below C. over D. behind
 
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