This is a table of adjective/noun combinations and their frequencies from sentences in your study carrel. Use it to search & browse the list to learn more about your study carrel.
| adjective | noun | frequency |
|---|---|---|
| social | media | 766 |
| altmetric | data | 150 |
| public | health | 140 |
| social | networks | 96 |
| - | time | 74 |
| social | network | 65 |
| covid-19 | pandemic | 62 |
| - | topics | 43 |
| negative | tweets | 33 |
| - | term | 29 |
| personal | tweets | 23 |
| same | time | 21 |
| real | time | 18 |
| other | words | 17 |
| large | number | 15 |
| - | topic | 14 |
| other | users | 14 |
| altmetric | events | 13 |
| different | methods | 13 |
| highest | number | 12 |
| many | tweets | 10 |
| such | information | 10 |
| public | sentiment | 10 |
| negative | sentiment | 10 |
| - | communities | 10 |
| large | networks | 10 |
| covid-19 | tweets | 10 |
| covid-19 | cases | 10 |
| different | time | 9 |
| other | tweets | 9 |
| personal | tweet | 9 |
| political | events | 9 |
| new | information | 8 |
| other | studies | 8 |
| relevant | information | 8 |
| similar | research | 8 |
| many | 7 | |
| social | data | 7 |
| several | times | 7 |
| personal | information | 7 |
| online | news | 7 |
| - | word | 7 |
| important | information | 7 |
| different | communities | 7 |
| available | data | 7 |
| - | information | 7 |
| different | data | 7 |
| other | events | 6 |
| specific | hashtags | 6 |
| specific | data | 6 |
| relevant | tweets | 6 |
| real | network | 6 |
| positive | tweets | 6 |
| positive | cases | 6 |
| public | information | 6 |
| negative | words | 6 |
| more | tweets | 6 |
| more | research | 6 |
| first | time | 6 |
| different | hashtags | 6 |
| - | tweets | 6 |
| - | data | 6 |
| negative | tweet | 6 |
| political | news | 5 |
| new | research | 5 |
| online | information | 5 |
| online | media | 5 |
| other | research | 5 |
| specific | tweets | 5 |
| relevant | data | 5 |
| relevant | terms | 5 |
| several | tweets | 5 |
| specific | words | 5 |
| new | cases | 5 |
| new | method | 5 |
| specific | topics | 5 |
| negative | sentiments | 5 |
| covid-19 | pandemics | 5 |
| - | community | 5 |
| - | words | 5 |
| - | analysis | 5 |
| altmetric | event | 5 |
| more | data | 5 |
| different | hashtag | 5 |
| first | research | 5 |
| high | number | 5 |
| many | times | 5 |
| different | topics | 5 |
| more | information | 4 |
| such | tweets | 4 |
| social | terms | 4 |
| similar | results | 4 |
| same | tweet | 4 |
| positive | sentiment | 4 |
| political | communities | 4 |
| online | communities | 4 |
| new | media | 4 |
| other | topics | 4 |
| large | numbers | 4 |
| - | tweeted | 4 |
| - | media | 4 |
| - | model | 4 |
| - | network | 4 |
| - | pandemic | 4 |
| new | data | 4 |
| available | tweets | 4 |
| important | news | 4 |
| large | datasets | 4 |
| higher | numbers | 4 |
| relevant | words | 3 |
| political | analysis | 3 |
| political | community | 3 |
| political | tweets | 3 |
| positive | users | 3 |
| relevant | news | 3 |
| same | word | 3 |
| same | method | 3 |
| several | studies | 3 |
| specific | research | 3 |
| other | data | 3 |
| such | data | 3 |
| specific | time | 3 |
| other | times | 3 |
| other | communities | 3 |
| largest | number | 3 |
| negative | users | 3 |
| - | case | 3 |
| available | datasets | 3 |
| first | model | 3 |
| large | dataset | 3 |
| first | case | 3 |
| low | number | 3 |
| many | cases | 3 |
| many | news | 3 |
| many | studies | 3 |
| more | news | 3 |
| other | models | 2 |
| public | 2 | |
| public | tweets | 2 |
| more | users | 2 |
| positive | words | 2 |
| political | sentiment | 2 |
| other | 2 | |
| newer | tweets | 2 |
| other | information | 2 |
| other | health | 2 |
| other | cases | 2 |
| online | health | 2 |
| online | data | 2 |
| real | news | 2 |
| new | tweet | 2 |
| new | model | 2 |
| real | data | 2 |
| several | research | 2 |
| same | dataset | 2 |
| specific | events | 2 |
| such | studies | 2 |
| such | networks | 2 |
| such | cases | 2 |
| specific | 2 | |
| specific | topic | 2 |
| specific | pandemic | 2 |
| social | events | 2 |
| same | number | 2 |
| similar | words | 2 |
| similar | studies | 2 |
| similar | hashtags | 2 |
| several | hashtags | 2 |
| same | 2 | |
| same | research | 2 |
| new | event | 2 |
| public | news | 2 |
| more | time | 2 |
| first | study | 2 |
| different | tweets | 2 |
| different | research | 2 |
| different | networks | 2 |
| different | models | 2 |
| different | events | 2 |
| different | dataset | 2 |
| covid-19 | information | 2 |
| available | 2 | |
| altmetric | studies | 2 |
| - | tweet | 2 |
| - | terms | 2 |
| - | news | 2 |
| - | models | 2 |
| - | health | 2 |
| more | studies | 2 |
| first | cases | 2 |
| covid-19 | topics | 2 |
| first | tweet | 2 |
| larger | communities | 2 |
| many | health | 2 |
| general | methods | 2 |
| many | events | 2 |
| many | analyses | 2 |
| lower | sentiment | 2 |
| lower | number | 2 |
| larger | numbers | 2 |
| lower | case | 2 |
| large | tweet | 2 |
| large | data | 2 |
| important | topics | 2 |
| important | hashtags | 2 |
| important | events | 2 |
| higher | number | 2 |
| high | 2 | |
| positive | results | 1 |
| real | networks | 1 |
| positive | terms | 1 |
| positive | word | 1 |
| public | data | 1 |
| public | datasets | 1 |
| public | events | 1 |
| public | sentiments | 1 |
| relevant | topic | 1 |
| real | pandemics | 1 |
| real | users | 1 |
| relevant | event | 1 |
| relevant | events | 1 |
| relevant | methods | 1 |
| relevant | number | 1 |
| relevant | results | 1 |
| relevant | topics | 1 |
| positive | covid-19 | 1 |
| positive | data | 1 |
| new | words | 1 |
| positive | case | 1 |
| other | datasets | 1 |
| new | word | 1 |
| same | community | 1 |
| online | analysis | 1 |
| online | medium | 1 |
| online | sentiment | 1 |
| online | user | 1 |
| other | case | 1 |
| other | hashtags | 1 |
| political | terms | 1 |
| other | media | 1 |
| other | methods | 1 |
| other | researches | 1 |
| personal | model | 1 |
| personal | networks | 1 |
| political | information | 1 |
| political | studies | 1 |
| relevant | users | 1 |
| similar | topics | 1 |
| same | data | 1 |
| social | sentiments | 1 |
| specific | datasets | 1 |
| specific | hashtag | 1 |
| specific | health | 1 |
| specific | information | 1 |
| specific | sentiment | 1 |
| specific | terms | 1 |
| specific | tweet | 1 |
| specific | word | 1 |
| such | datasets | 1 |
| such | events | 1 |
| such | methods | 1 |
| such | models | 1 |
| such | research | 1 |
| such | study | 1 |
| such | times | 1 |
| such | user | 1 |
| such | users | 1 |
| specific | case | 1 |
| social | news | 1 |
| same | information | 1 |
| social | communities | 1 |
| same | network | 1 |
| same | term | 1 |
| several | communities | 1 |
| several | events | 1 |
| several | health | 1 |
| several | researches | 1 |
| several | sentiment | 1 |
| several | 1 | |
| several | user | 1 |
| similar | case | 1 |
| similar | methods | 1 |
| similar | model | 1 |
| similar | number | 1 |
| similar | study | 1 |
| similar | time | 1 |
| new | events | 1 |
| social | analysis | 1 |
| new | tweets | 1 |
| many | results | 1 |
| new | datum | 1 |
| different | numbers | 1 |
| different | studies | 1 |
| different | term | 1 |
| different | terms | 1 |
| different | times | 1 |
| different | users | 1 |
| different | word | 1 |
| first | covid-19 | 1 |
| first | hashtag | 1 |
| first | network | 1 |
| general | analysis | 1 |
| general | hashtags | 1 |
| general | information | 1 |
| general | network | 1 |
| general | sentiment | 1 |
| general | terms | 1 |
| general | topics | 1 |
| general | 1 | |
| different | results | 1 |
| different | number | 1 |
| new | datasets | 1 |
| different | model | 1 |
| - | event | 1 |
| - | events | 1 |
| - | hashtag | 1 |
| - | methods | 1 |
| - | modeling | 1 |
| - | tweeting | 1 |
| - | users | 1 |
| altmetric | research | 1 |
| available | dataset | 1 |
| available | user | 1 |
| covid-19 | communities | 1 |
| covid-19 | time | 1 |
| different | analysis | 1 |
| different | datasets | 1 |
| different | health | 1 |
| different | information | 1 |
| different | medium | 1 |
| general | users | 1 |
| high | numbers | 1 |
| higher | sentiment | 1 |
| highest | numbers | 1 |
| many | information | 1 |
| many | model | 1 |
| many | topics | 1 |
| many | users | 1 |
| many | words | 1 |
| more | cases | 1 |
| more | event | 1 |
| more | hashtags | 1 |
| more | results | 1 |
| more | studied | 1 |
| more | 1 | |
| negative | case | 1 |
| negative | data | 1 |
| negative | news | 1 |
| negative | result | 1 |
| negative | word | 1 |
| new | dataset | 1 |
| lowest | numbers | 1 |
| lower | numbers | 1 |
| largest | user | 1 |
| important | words | 1 |
| important | data | 1 |
| important | event | 1 |
| important | number | 1 |
| important | research | 1 |
| important | terms | 1 |
| important | topic | 1 |
| important | word | 1 |
| large | community | 1 |
| largest | communities | 1 |
| large | events | 1 |
| large | information | 1 |
| large | study | 1 |
| large | 1 | |
| larger | dataset | 1 |
| larger | networks | 1 |
| larger | number | 1 |
| such | words | 1 |