- REMERY, Michel: Tweet with God2017 | Hussite Theological Faculty
- Towards Silver Standard Dependency Treebank of Urdu TweetsPublication without faculty affiliation
- Performance Comparison of Bootstrapped Statistical Taggers on Urdu TweetsPublication without faculty affiliation
- Detecting COVID-19 Pandemic Using Sentiment Analysis of TweetsPublication without faculty affiliation
- Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means AlgorithmPublication without faculty affiliation
- Czech Journalists Tweet Elections to the European Parliament 20142015 | Faculty of Social Sciences
- Biased k-NN Similarity Content Based Prediction of Movie Tweets Popularity2015 | Faculty of Mathematics and Physics
- City Transit Rider Tweets: Understanding Sentiments and PolitenessPublication without faculty affiliation
- Identification of Multiword Expressions in Tweets for Hate Speech DetectionPublication without faculty affiliation
- The powers that tweet: Social media as news sources in the Czech Republic2017 | Faculty of Social Sciences
- Using Twitter to model consumer perception and product development opportunities: A use case with TurmericPublication without faculty affiliation
- Bootstrapping Dependency Treebank of Urdu Noisy TextPublication without faculty affiliation
- An investigation of emoticon use on Twitter2015 | Faculty of Arts
- The first direct presidential election in the Czech Republic on Twitter2013 | Faculty of Mathematics and Physics, Faculty of Social Sciences
- Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisPublication without faculty affiliation
- Twitter Crowd Translation -- Design and Objectives2014 | Faculty of Mathematics and Physics
- Wordup! At vaxxstance 2021: Combining contextual information with textual and dependency-based syntactic features for stance detectionPublication without faculty affiliation
- The Use of Emoticons in Polite Phrases of Greetings and Thanks2015 | Faculty of Education, Faculty of Arts
- Simple, Interpretable and Stable Method for Detecting Words with Usage Change across CorporaPublication without faculty affiliation
- Concerns of teachers during school closings: analyzing communication in the twitter-lehrerzimmer regarding opportunities and challenges of digital teachingPublication without faculty affiliation
- Dictionary Based Global Twitter Sentiment Analysis of Coronavirus (COVID-19) Effects and ResponsePublication without faculty affiliation
- Large-Scale Colloquial Persian 0.5Publication without faculty affiliation
- DaNLP: An open-source toolkit for Danish Natural Language ProcessingPublication without faculty affiliation
- First 100 abnormal days with Trump2017 | Faculty of Arts
- The Instagram/Facebook ban on graphic self-harm imagery: A sentiment analysis and topic modeling approachPublication without faculty affiliation
- “Thank you, Jirka, for helping…” Combining first names and formal address pronoun in the communication of Czech Twitter users2023 | Faculty of Arts
- The unbearable hurtfulness of sarcasmPublication without faculty affiliation
- Prime Ministers on Twitter: Mateusz Morawiecki and Andrej Babiš during the 2019 European election campaign - two models of communication2021 | Faculty of Arts
- Annotating Norwegian language varieties on Twitter for Part-of-speechPublication without faculty affiliation
- LSCP: Enhanced Large Scale Colloquial Persian Language UnderstandingPublication without faculty affiliation
