This is a table of type proper and their frequencies. Use it to search & browse the list to learn more about your study carrel.
| proper | frequency |
|---|---|
| 1582 | |
| COVID-19 | 426 |
| Fig | 196 |
| March | 180 |
| Table | 157 |
| News | 143 |
| Social | 132 |
| 128 | |
| 118 | |
| • | 116 |
| April | 114 |
| United | 107 |
| Health | 102 |
| Trump | 98 |
| States | 95 |
| UK | 94 |
| China | 92 |
| Data | 77 |
| Coronavirus | 72 |
| Personal | 71 |
| LDA | 69 |
| May | 68 |
| US | 64 |
| MLB | 61 |
| Figure | 60 |
| February | 58 |
| Information | 55 |
| M | 53 |
| SARS | 51 |
| Tweet | 50 |
| Media | 49 |
| Brexit | 49 |
| Analysis | 49 |
| nan | 48 |
| SMT | 48 |
| January | 48 |
| Russia | 47 |
| 47 | |
| sha | 46 |
| T | 45 |
| Johnson | 45 |
| English | 45 |
| World | 44 |
| El | 44 |
| Covid-19 | 44 |
| MPs | 43 |
| API | 43 |
| Public | 41 |
| Mueller | 41 |
| DOI | 41 |
| New | 40 |
| PHQ | 40 |
| Ebola | 39 |
| 39 | |
| SIR | 37 |
| Mendeley | 36 |
| Japan | 36 |
| U.S. | 35 |
| Covid19 | 35 |
| COVID | 35 |
| Boris | 34 |
| CNN | 34 |
| CoV-2 | 34 |
| Donald | 34 |
| Italy | 34 |
| MOC | 34 |
| Disease | 34 |
| University | 33 |
| USA | 33 |
| President | 33 |
| Mining | 33 |
| corpus | 32 |
| Research | 32 |
| MA | 32 |
| Madrid | 31 |
| Organization | 31 |
| RT | 31 |
| York | 30 |
| H1N1 | 30 |
| covid-19 | 29 |
| State | 29 |
| SIRsim | 29 |
| NC | 29 |
| Bayes | 29 |
| Communication | 28 |
| America | 28 |
| CC | 28 |
| General | 28 |
| June | 28 |
| MapReduce | 28 |
| International | 27 |
| Hadoop | 27 |
| Appendix | 27 |
| AAST | 27 |
| South | 26 |
| Python | 26 |
| Language | 26 |
| EPIC30 | 26 |
| BY | 26 |
| BiGRU | 25 |
| Democrats | 25 |
| Austria | 25 |
| Dataset | 25 |
| MP | 25 |
| India | 25 |
| N | 25 |
| NYT | 25 |
| i | 25 |
| retweet | 24 |
| Sentiment | 24 |
| Science | 24 |
| Pandemic | 24 |
| Network | 24 |
| ABC | 24 |
| European | 23 |
| Democrat | 23 |
| Detection | 23 |
| Europe | 23 |
| JSON | 23 |
| SVM | 23 |
| Spain | 23 |
| R | 22 |
| Natural | 22 |
| National | 22 |
| Learning | 22 |
| Center | 22 |
| Baseball | 22 |
| American | 22 |
| League | 21 |
| Alarm | 21 |
| December | 21 |
| Digital | 21 |
| LIWC | 21 |
| Search | 21 |
| ND | 21 |
| tweet | 21 |
| Society | 21 |
| WoS | 21 |
| País | 21 |
| Machine | 20 |
| Bot | 20 |
| Covid | 20 |
| Crisis | 20 |
| Conference | 20 |
| Mundo | 20 |
| SIRemp | 20 |
| Topic | 20 |
| Weber | 20 |
| S | 19 |
| RETINA | 19 |
| Fechner | 19 |
| Canada | 19 |
| Big | 19 |
| Apache | 19 |
| Labour | 18 |
| A | 18 |
| Epidemic | 18 |
| Eq | 18 |
| Hunter | 18 |
| Wuhan | 18 |
| NMF | 18 |
| System | 18 |
| Talkwalker | 18 |
| Networks | 18 |
| Non | 18 |
| Republicans | 17 |
| − | 17 |
| GRU | 17 |
| PD | 17 |
| Italia | 17 |
| Section | 17 |
| Spark | 17 |
| Technology | 17 |
| PHQ-9 | 16 |
| Cummings | 16 |
| G | 16 |
| Government | 16 |
| ID | 16 |
| IDF | 16 |
| IV | 16 |
| J | 16 |
| Model | 16 |
| Concern | 16 |
| Sciences | 16 |
| 16 | |
| TF | 16 |
| Times | 16 |
| Use | 16 |
| V | 16 |
| Y | 16 |
| data | 16 |
| geo | 16 |
| social | 16 |
| Spanish | 16 |
| C | 15 |
| Flu | 15 |
| Count | 15 |
| Computing | 15 |
| Cohen | 15 |
| Lee | 15 |
| Association | 15 |
| Americans | 15 |
| Altmetric.com | 15 |
| AFINN | 15 |
| K | 15 |
| YouTube | 15 |
| Major | 15 |
| Supplementary | 15 |
| NLP | 15 |
| medRxiv | 15 |
| tf | 15 |
| Wang | 15 |
| X | 15 |
| Sandy | 15 |
| SMMT | 15 |
| Risk | 15 |
| OLS | 15 |
| Systems | 14 |
| CDC | 14 |
| Control | 14 |
| Hurricane | 14 |
| Jaccard | 14 |
| Online | 14 |
| Text | 14 |
| UMAP | 14 |
| Web | 14 |
| Wikipedia | 14 |
| altmetrics | 14 |
| uk | 14 |
| Korea | 13 |
| Asia | 13 |
| Chen | 13 |
| Disaster | 13 |
| EP | 13 |
| Foundation | 13 |
| Global | 13 |
| Hagibis | 13 |
| Hopkins | 13 |
| July | 13 |
| Processing | 13 |
| Lombardy | 13 |
| North | 13 |
| Poisson | 13 |
| Thelwall | 13 |
| Tier | 13 |
| Viva | 13 |
| Word | 13 |
| covid | 13 |
| Louvain | 13 |
| Community | 12 |
| Journal | 12 |
| J. | 12 |
| George | 12 |
| ESMOS | 12 |
| EM | 12 |
| Argentina | 12 |
| Classification | 12 |
| CWTS | 12 |
| Bourdieu | 12 |
| Basilisk | 12 |
| Africa | 12 |
| Management | 12 |
| Latent | 12 |
| series | 12 |
| P | 12 |
| Trends | 12 |
| Party | 12 |
| idf | 12 |
| WordNet | 12 |
| Vector | 12 |
| Tweets | 12 |
| Walsh | 12 |
| Surveillance | 12 |
| September | 12 |
| School | 12 |
| Review | 12 |
| Professional | 12 |
| Lockdowns | 11 |
| Nature | 11 |
| NLTK | 11 |
| Monitoring | 11 |
| Minister | 11 |
| Negative | 11 |
| ML | 11 |
| City | 11 |
| Livelihood | 11 |
| LSTM | 11 |
| Kingdom | 11 |
| Germany | 11 |
| Dominic | 11 |
| Corbyn | 11 |
| California | 11 |
| Naïve | 11 |
| Material | 11 |
| NewsGuard | 11 |
| Union | 11 |
| October | 11 |
| tw | 11 |
| china | 11 |
| West | 11 |
| Venezuela | 11 |
| VM | 11 |
| Zhang | 11 |
| Theory | 11 |
| Study | 11 |
| Streaming | 11 |
| Smith | 11 |
| Ramadan | 11 |
| Open | 11 |
| TTI | 11 |
| Australia | 10 |
| Dirichlet | 10 |
| Death | 10 |
| David | 10 |
| # | 10 |
| Arabia | 10 |
| Agency | 10 |
| AUC | 10 |
| Intelligence | 10 |
| ERCP | 10 |
| Gorrell | 10 |
| MNB | 10 |
| Prevention | 10 |
| WHO | 10 |
| Thornton | 10 |
| Saudi | 10 |
| Quarantine | 10 |
| Sect | 10 |
| PSE | 10 |
| NB | 10 |
| Mr | 10 |
| McRobbie | 10 |
| Crime | 9 |
| II | 9 |
| Hope | 9 |
| Hancock | 9 |
| H7N9 | 9 |
| FI | 9 |
| EID | 9 |
| Depression | 9 |
| COV19Tweets | 9 |
| Costas | 9 |
| Colour | 9 |
| Coefficient | 9 |
| COVID19 | 9 |
| Jeremy | 9 |
| BHS | 9 |
| BERT | 9 |
| ACM | 9 |
| Infoveillance | 9 |
| Parliament | 9 |
| John | 9 |
| San | 9 |
| LBSN | 9 |
| https | 9 |
| Virus | 9 |
| Toolkit | 9 |
| Support | 9 |
| Stream | 9 |
| Statistical | 9 |
| Typhoon | 9 |
| Pregel | 9 |
| Pew | 9 |
| PNN | 9 |
| MF | 9 |
| Latour | 9 |
| Prediction | 9 |
| LES | 9 |
| IEEE | 8 |
| Foreign | 8 |
| Fourcade | 8 |
| HDFS | 8 |
| Hall | 8 |
| Impact | 8 |
| INFOcas | 8 |
| Influenza | 8 |
| Infodemiology | 8 |
| Development | 8 |
| F | 8 |
| Application | 8 |
| Communications | 8 |
| Cloud | 8 |
| Clinical | 8 |
| Centre | 8 |
| Centers | 8 |
| BioCaster | 8 |
| BiDCM | 8 |
| BBC | 8 |
| Allocation | 8 |
| Age | 8 |
| Lockdown | 8 |
| Johns | 8 |
| CoreNLP | 8 |
| MCS | 8 |
| t. | 8 |
| MPQA | 8 |
| https://doi.org/10.1101/2020.05.27.20114983 | 8 |
| 8 | |
| Zika | 8 |
| Zahedi | 8 |
| Yang | 8 |
| 8 | |
| VI | 8 |
| User | 8 |
| TopoLSTM | 8 |
| Spearman | 8 |
| news | 8 |
| Software | 8 |
| NLS | 8 |
| Semantic | 8 |
| Missile | 8 |
| Mr. | 8 |
| NHS | 8 |
| Mental | 8 |
| NON | 8 |
| Peru | 8 |
| PubMed | 8 |
| RSN | 8 |
| Humanities | 7 |
| DBPedia | 7 |
| Hospital | 7 |
| Guardian | 7 |
| Giraph | 7 |
| GPS | 7 |
| Forbes | 7 |
| England | 7 |
| E | 7 |
| Director | 7 |
| Democratic | 7 |
| Commons | 7 |
| D | 7 |
| Creative | 7 |
| Content | 7 |
| Conservatives | 7 |
| Colombia | 7 |
| Cholera | 7 |
| Cassandra | 7 |
| Biomedical | 7 |
| Applications | 7 |
| Map | 7 |
| Liberal | 7 |
| Economy | 7 |
| Moscow | 7 |
| Tw | 7 |
| PN | 7 |
| ∼ | 7 |
| | | 7 |
| van | 7 |
| ui | 7 |
| doc_id | 7 |
| der | 7 |
| Zhao | 7 |
| Yankees | 7 |
| 7 | |
| Washington | 7 |
| wuhan | 7 |
| Tree | 7 |
| Resource | 7 |
| Test | 7 |
| Q&A | 7 |
| Resilience | 7 |
| Politics | 7 |
| SEASONAL | 7 |
| SEM | 7 |
| Springer | 7 |
| PPE | 7 |
| EpiSpider | 6 |
| Engineering | 6 |
| Graph | 6 |
| Evaluation | 6 |
| F1 | 6 |
| F1000Prime | 6 |
| Fernandez | 6 |
| Floyd | 6 |
| French | 6 |
| Future | 6 |
| IO | 6 |
| H | 6 |
| Haustein | 6 |
| HealthMap | 6 |
| Institute | 6 |
| Int | 6 |
| Internet | 6 |
| Iran | 6 |
| East | 6 |
| JMA | 6 |
| Easter | 6 |
| Bi | 6 |
| EU | 6 |
| Behavior | 6 |
| Kuwait | 6 |
| AI | 6 |
| Action | 6 |
| Adam | 6 |
| Algorithms | 6 |
| Amazon | 6 |
| Analytics | 6 |
| Anxiety | 6 |
| BiCM | 6 |
| Demszky | 6 |
| Black | 6 |
| Board | 6 |
| Bornmann | 6 |
| Chinese | 6 |
| Collection | 6 |
| Cronbach | 6 |
| Decision | 6 |
| Delhi | 6 |
| Kerr | 6 |
| LEAs | 6 |
| preprint | 6 |
| Secretary | 6 |
| Singapore | 6 |
| Stata | 6 |
| Surge | 6 |
| Surgery | 6 |
| Swine | 6 |
| Time | 6 |
| Twevent | 6 |
| Unidad | 6 |
| W | 6 |
| White | 6 |
| ageusia | 6 |
| dataset | 6 |
| n.d | 6 |
| orange | 6 |
| retweeters | 6 |
| Γ | 6 |
| α | 6 |
| −1 | 6 |
| Lamsal | 6 |
| Security | 6 |
| TikTok | 6 |
| Scotland | 6 |
| PCA | 6 |
| Library | 6 |
| Life | 6 |
| Maharashtra | 6 |
| Score | 6 |
| Matt | 6 |
| Ministry | 6 |
| Multinomial | 6 |
| N. | 6 |
| Ontology | 6 |
| Mar. | 6 |
| PLS | 6 |
| PageRank | 6 |
| Political | 6 |
| Robinson | 6 |
| Programming | 6 |
| RSS | 6 |
| Recurrent | 6 |
| POS | 6 |
| Response | 6 |
| Francisco | 5 |
| Haiti | 5 |
| H. | 5 |
| Great | 5 |
| Garcia | 5 |
| GPHIN | 5 |
| Fraud | 5 |
| Federal | 5 |
| Framework | 5 |
| File | 5 |
| FINANCIAL | 5 |
| Eysenbach | 5 |
| Epidemics | 5 |
| Egypt | 5 |
| Effect | 5 |
| House | 5 |
| Hexagon | 5 |
| Logistic | 5 |
| Howard | 5 |
| ICU | 5 |
| Earth | 5 |
| Li | 5 |
| L | 5 |
| Knowledge | 5 |
| Kivu | 5 |
| Kerala | 5 |
| Kappa | 5 |
| Jin | 5 |
| Jan. | 5 |
| Italian | 5 |
| Interface | 5 |
| Informatics | 5 |
| Indonesia | 5 |
| Index | 5 |
| Imhoff | 5 |
| Earthquake | 5 |
| CSSE | 5 |
| ESD | 5 |
| Chicago | 5 |
| Building | 5 |
| Brand | 5 |
| Bipartite | 5 |
| Bidirectional | 5 |
| B. | 5 |
| Article | 5 |
| Approach | 5 |
| Anosmia | 5 |
| Andreouli | 5 |
| Altmetrics | 5 |
| Alabama | 5 |
| Advances | 5 |
| Access | 5 |
| ATTEND | 5 |
| AIDS | 5 |
| Cancer | 5 |
| Cinelli | 5 |
| EI | 5 |
| Cognitive | 5 |
| E. | 5 |
| Distributed | 5 |
| Deep | 5 |
| Day | 5 |
| Davcik | 5 |
| DH | 5 |
| D. | 5 |
| Cultural | 5 |
| Crump | 5 |
| Cross | 5 |
| Crimson | 5 |
| Coverage | 5 |
| Configuration | 5 |
| Computational | 5 |
| College | 5 |
| Linguistic | 5 |
| People | 5 |
| MLI | 5 |
| Unit | 5 |
| URL | 5 |
| U | 5 |
| Trauma | 5 |
| TextBlob | 5 |
| TC | 5 |
| Symplur | 5 |
| Survey | 5 |
| Sunday | 5 |
| Studies | 5 |
| Stanford | 5 |
| Square | 5 |
| Singh | 5 |
| Simmel | 5 |
| Sharma | 5 |
| Seattle | 5 |
| Uber | 5 |
| VAD | 5 |
| Scientific | 5 |
| Van | 5 |
| MT | 5 |
| us | 5 |
| ts | 5 |
| rtweet | 5 |
| potus | 5 |
| keystone | 5 |
| health | 5 |
| h1n1 | 5 |
| en | 5 |
| el | 5 |
| doi | 5 |
| _ | 5 |
| Worldometer | 5 |
| Western | 5 |
| Vosoughi | 5 |
| Scientometrics | 5 |
| ebola | 5 |
| S. | 5 |
| Newman | 5 |
| NT | 5 |
| NGOs | 5 |
| Muslims | 5 |
| Multimodal | 5 |
| Movement | 5 |
| Moral | 5 |
| Models | 5 |
| Modeling | 5 |
| Michael | 5 |
| Matter | 5 |
| Matteo | 5 |
| Match | 5 |
| Marx | 5 |
| Richard | 5 |
| Mahout | 5 |
| Neural | 5 |
| Medical | 5 |
| Nigeria | 5 |
| Publisher | 5 |
| Republic | 5 |
| Northern | 5 |
| Retweet | 5 |
| Regression | 5 |
| Radzikowski | 5 |
| RNN | 5 |
| R. | 5 |
| Recognition | 5 |
| Prime | 5 |
| Outbreak | 5 |
| Philippines | 5 |
| Note | 5 |
| Panic | 5 |
| Opinion | 5 |
| García | 4 |
| Gephi | 4 |
| Gerbaudo | 4 |
| Gerber | 4 |
| Gibbs | 4 |
| HIV | 4 |
| Grand | 4 |
| Group | 4 |
| Gupta | 4 |
| GIS | 4 |
| Hama | 4 |
| Gab | 4 |
| Flickr | 4 |
| Friendster | 4 |
| Frente | 4 |
| Fratelli | 4 |
| France | 4 |
| Forest | 4 |
| First | 4 |
| Ferrara | 4 |
| Feb | 4 |
| Farrell | 4 |
| Family | 4 |
| Hindi | 4 |
| Extraction | 4 |
| Heverin | 4 |
| L. | 4 |
| Hochberg | 4 |
| Keller | 4 |
| Events2012 | 4 |
| Lippold | 4 |
| Letter | 4 |
| Leibler | 4 |
| Lehmann | 4 |
| Lega | 4 |
| Latin | 4 |
| Lai | 4 |
| Label | 4 |
| LK | 4 |
| Kullback | 4 |
| Keir | 4 |
| Human | 4 |
| KH | 4 |
| K2 | 4 |
| Joint | 4 |
| Ji | 4 |
| Japanese | 4 |
| James | 4 |
| Introduction | 4 |
| Institutional | 4 |
| Inquiry | 4 |
| Infodemic | 4 |
| Immunity | 4 |
| Excel | 4 |
| Boston | 4 |
| Event | 4 |
| BEND | 4 |
| CBD | 4 |
| C. | 4 |
| Burgon | 4 |
| Bucher | 4 |
| Brazil | 4 |
| Boyd | 4 |
| BioPortal | 4 |
| Berger | 4 |
| Bayesian | 4 |
| Bangladesh | 4 |
| Banda | 4 |
| B | 4 |
| COVID-19-positive | 4 |
| Automatic | 4 |
| Austrian | 4 |
| August | 4 |
| Attribution | 4 |
| Army | 4 |
| Apr | 4 |
| Apple | 4 |
| Alanazi | 4 |
| Ahmed | 4 |
| Advanced | 4 |
| London | 4 |
| CN | 4 |
| CalExit | 4 |
| Emergency | 4 |
| Corpora | 4 |
| Effectiveness | 4 |
| Early | 4 |
| Dynamic | 4 |
| Domingos | 4 |
| Dom | 4 |
| Diego | 4 |
| Dictionary | 4 |
| De | 4 |
| Davidson | 4 |
| Culture | 4 |
| Correlation | 4 |
| Collective | 4 |
| Cambridge | 4 |
| Closures | 4 |
| Ciudadana | 4 |
| Chile | 4 |
| Chi | 4 |
| Chew | 4 |
| Chequers | 4 |
| Cheney | 4 |
| Case | 4 |
| Care | 4 |
| Cao | 4 |
| Canadian | 4 |
| Locality | 4 |
| Handbook | 4 |
| Lopresti | 4 |
| Sun | 4 |
| Vaidhyanathan | 4 |
| VK.com | 4 |
| Users | 4 |
| UAE | 4 |
| Turk | 4 |
| Trottier | 4 |
| Tokyo | 4 |
| Thailand | 4 |
| Testing | 4 |
| Team | 4 |
| Tables | 4 |
| Street | 4 |
| Wales | 4 |
| Statista | 4 |
| Stars | 4 |
| Starmer | 4 |
| St | 4 |
| Spotlight | 4 |
| Spiro | 4 |
| Space | 4 |
| Sketch | 4 |
| Shahsavari | 4 |
| Salvini | 4 |
| SPSS | 4 |
| Veneto | 4 |
| 4 | |
| Ross | 4 |
| meta | 4 |
| Los | 4 |
| un | 4 |
| south | 4 |
| s. | 4 |
| prob | 4 |
| para | 4 |
| p(t | 4 |
| ne | 4 |
| mps | 4 |
| mid | 4 |
| microblogs | 4 |
| iα | 4 |
| Wright | 4 |
| hurricane | 4 |
| https://doi.org/10.1101/2020.04.06.20055749 | 4 |
| gensim | 4 |
| d'Italia | 4 |
| covid19 | 4 |
| content | 4 |
| boyd | 4 |
| altmetric | 4 |
| Zealand | 4 |
| Zach | 4 |
| Young | 4 |
| S1 | 4 |
| infoveillance | 4 |
| Rodrigo | 4 |
| Milan | 4 |
| NWO | 4 |
| NR | 4 |
| NN | 4 |
| NER | 4 |
| Muslim | 4 |
| Murthy | 4 |
| Multi | 4 |
| Moving | 4 |
| MongoDB | 4 |
| Monday | 4 |
| Modelling | 4 |
| Microsoft | 4 |
| Novel | 4 |
| Meme | 4 |
| Mechanical | 4 |
| Measles | 4 |
| Matthew | 4 |
| Manchester | 4 |
| MaTED | 4 |
| MM | 4 |
| MERS | 4 |
| M5S | 4 |
| Republican | 4 |
| M. | 4 |
| Nielsen | 4 |
| Marwick | 4 |
| OECD | 4 |
| Profanity | 4 |
| Renzi | 4 |
| Related | 4 |
| ∪ | 4 |
| Red | 4 |
| Random | 4 |
| ROC | 4 |
| Quick | 4 |
| Queen | 4 |
| Qaeda | 4 |
| Publons | 4 |
| PubPeer | 4 |
| Project | 4 |
| RQ2 | 4 |
| Pearson | 4 |
| Phillips | 4 |
| Proceedings | 4 |
| Pais | 4 |
| Pedro | 4 |
| PR | 4 |
| Paul | 4 |
| Polarization | 4 |
| Police | 4 |
| Policing | 4 |
| Policy | 4 |
| Fox | 3 |
| Games | 3 |
| Framing | 3 |
| Frontier | 3 |
| G. | 3 |
| GK | 3 |
| GMT+5:45 | 3 |
| Gabriel | 3 |
| Guidelines | 3 |
| GloVe | 3 |
| Gates | 3 |
| German | 3 |
| Gladden | 3 |
| GraphLab | 3 |
| Greater | 3 |
| Groups | 3 |
| Gruhl | 3 |
| Florida | 3 |
| Guide | 3 |
| Foster | 3 |
| FINANCIALS | 3 |
| Fleiss | 3 |
| Equation | 3 |
| Emotion | 3 |
| Hadoops | 3 |
| Emotionen | 3 |
| Empirical | 3 |
| Enders | 3 |
| Engagement | 3 |
| Epub | 3 |
| Eqs | 3 |
| Estimating | 3 |
| Fisichella | 3 |
| FOREST | 3 |
| FPEA | 3 |
| Factorization | 3 |
| False | 3 |
| Fame | 3 |
| Fatto | 3 |
| Ferguson | 3 |
| Fever | 3 |
| HITS@k | 3 |
| Jack | 3 |
| Halford | 3 |
| Klas | 3 |
| JHU | 3 |
| JW | 3 |
| Java | 3 |
| Joosse | 3 |
| Juan | 3 |
| Justicialista | 3 |
| KDE | 3 |
| Kirchner | 3 |
| Kostkova | 3 |
| Hamilton | 3 |
| Lamberty | 3 |
| Lammy | 3 |
| Lancet | 3 |
| Leadership | 3 |
| Lerman | 3 |
| Leskovec | 3 |
| Lewis | 3 |
| Electronic | 3 |
| Izquierda | 3 |
| Ireland | 3 |
| Interest | 3 |
| Innovation | 3 |
| Harald | 3 |
| Harvey | 3 |
| Hashtags | 3 |
| Haunschild | 3 |
| Healy | 3 |
| High | 3 |
| Home | 3 |
| Hong | 3 |
| Hubei | 3 |
| Hurdle | 3 |
| Hydrator | 3 |
| I(X | 3 |
| IBM | 3 |
| III | 3 |
| IQR | 3 |
| IT | 3 |
| Il | 3 |
| Emory | 3 |
| Barrett | 3 |
| Ekblom | 3 |
| Lima | 3 |
| Arabic | 3 |
| Aramaki | 3 |
| Area | 3 |
| Artificial | 3 |
| Automated | 3 |
| Average | 3 |
| Award | 3 |
| BP | 3 |
| Basic | 3 |
| Britain | 3 |
| Baym | 3 |
| Benjamini | 3 |
| Bernie | 3 |
| Bhatia | 3 |
| Binomial | 3 |
| Biocaster | 3 |
| Bodnar | 3 |
| Botometer | 3 |
| Approximation | 3 |
| Análisis | 3 |
| Anger | 3 |
| Angeles | 3 |
| -die.world.peopl | 3 |
| 2S | 3 |
| 3SLS | 3 |
| 3c | 3 |
| 3d | 3 |
| @realDonaldTrump | 3 |
| AC | 3 |
| Academy | 3 |
| Achrekar | 3 |
| Act | 3 |
| Activity | 3 |
| Affect | 3 |
| Agenda | 3 |
| Albright | 3 |
| Algorithm | 3 |
| An | 3 |
| Analytica | 3 |
| Bradshaw | 3 |
| Brooking | 3 |
| Editors | 3 |
| Dienst | 3 |
| Cubs | 3 |
| Culotta | 3 |
| Cybercrime | 3 |
| DBpedia | 3 |
| Davey | 3 |
| Definition | 3 |
| Dengue | 3 |
| Department | 3 |
| Directed | 3 |
| Brubaker | 3 |
| Discourse | 3 |
| Discovery | 3 |
| Domazlicky | 3 |
| Echo | 3 |
| Eck | 3 |
| Ecologies | 3 |
| Economic | 3 |
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| 2 | |
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| ie | 2 |
| 2 | |
| id_str | 2 |
| i. | 2 |
| https://www.tensorflow.org/api | 2 |
| https://twitter.com/EdwardJDavey/status/1253882262715842560 | 2 |
| http://www.mpellert.at/covid19 | 2 |
| http://mozdeh.wlv.ac.uk | 2 |
| hematochezia | 2 |
| heilte | 2 |
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| Swaroop | 2 |
| congress | 2 |
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| Ora | 2 |
| Peer | 2 |
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| Motion | 2 |
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| Minute | 2 |
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| SUR | 2 |
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| Short | 2 |
| Signals | 2 |
| Singer | 2 |
| Step | 2 |
| Sugimoto | 2 |
| Subsection | 2 |
| Suite | 2 |
| PubAnnotation | 2 |
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| Sriganesh | 2 |
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| STANDARD | 2 |
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