Björn Gambäck
Impact in
- Artificial Intelligence top 1%
- Hate Speech and Cyberbullying Detection
- Natural Language Processing Techniques
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Internet Traffic Analysis and Secure E-voting
- Communication top 5%
Papers in
-
- Natural Language Processing Techniques 44
- Topic Modeling 31
- Speech and dialogue systems 28
- Sentiment Analysis and Opinion Mining 13
- Advanced Text Analysis Techniques 10
- Hate Speech and Cyberbullying Detection 9
- Text and Document Classification Technologies 9
- AI in Service Interactions 7
- Co-authors
- Utpal Kumar SikdarAmitava DasSrinivas PyklTanmoy ChakrabortyFredrik OlssonChhavi SharmaP. ViswanathWilliam G. Scott
In The Last Decade
Björn Gambäck
83 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 1.3k
- Communication 118
- Human-Computer Interaction 65
- Information Systems 250
- Signal Processing 115
Countries citing papers authored by Björn Gambäck
This map shows the geographic impact of Björn Gambäck's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Björn Gambäck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Björn Gambäck more than expected).
Fields of papers citing papers by Björn Gambäck
This network shows the impact of papers produced by Björn Gambäck. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Björn Gambäck. The network helps show where Björn Gambäck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Björn Gambäck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Image Artist: Computer Generated Art Based on Musical Input. | 2018 | 1 |
| 2 | Deep Learning-based Poetry Generation Given Visual Input. | 2018 | 6 |
| 3 | Utilizing Large Twitter Corpora to Create Sentiment Lexica | 2018 | 1 |
| 4 | Feature-Rich Twitter Named Entity Recognition and Classification. | 2016 | 10 |
| 5 | Twitter Named Entity Extraction and Linking Using Differential Evolution | 2016 | 2 |
| 6 | Sentence Boundary Detection for Social Media Text | 2015 | 9 |
| 7 | Part-of-Speech Tagging for Code-Mixed English-Hindi Twitter and Facebook Chat Messages | 2015 | 59 |
| 8 | Identifying Languages at the Word Level in Code-Mixed Indian Social Media Text | 2014 | 86 |
| 9 | NTNU-CORE: Combining strong features for semantic similarity | 2013 | 5 |
| 10 | Improving Word Translation Disambiguation by Capturing Multiword Expressions with Dictionaries | 2013 | 4 |
| 11 | NTNU: Domain Semi-Independent Short Message Sentiment Classification | 2013 | 2 |
| 12 | Sentimantics: Conceptual Spaces for Lexical Sentiment Polarity Representation with Contextuality | 2012 | 14 |
| 13 | 2008 | 3 | |
| 14 | Experiences of Language Engineering Algorithm Reuse | 2000 | 10 |
| 15 | Composing a General-Purpose Toolbox for Swedish | 2000 | 1 |
| 16 | Reusing Swedish Language Processing Resources in SVENSK | 1998 | 5 |
| 17 | Underspecified Japanese Semantics in a Machine Translation System. | 1996 | 3 |
| 18 | A Grammar-based Rule Formalism for a Text-to-Speech Interface System. | 1995 | 0 |
| 19 | Complex Verb Transfer Phenomena in the SLT System | 1994 | 0 |
| 20 | Question answering in the Swedish Core Language Engine | 1993 | 1 |
About Björn Gambäck
Björn Gambäck is a scholar working on Artificial Intelligence, Signal Processing, Human-Computer Interaction, Language and Linguistics and Information Systems, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (44 papers), Topic Modeling (31 papers), Speech and dialogue systems (28 papers), Sentiment Analysis and Opinion Mining (13 papers), Advanced Text Analysis Techniques (10 papers), Hate Speech and Cyberbullying Detection (9 papers), Text and Document Classification Technologies (9 papers) and AI in Service Interactions (7 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Communication (118 citations), Human-Computer Interaction (65 citations), Information Systems (250 citations) and Signal Processing (115 citations). Björn Gambäck has collaborated with scholars based in Norway, Sweden and India. Frequent co-authors include Utpal Kumar Sikdar, Amitava Das, Srinivas Pykl, Tanmoy Chakraborty, Fredrik Olsson, Chhavi Sharma, P. Viswanath, William G. Scott, Manny Rayner and David Carter. Their work appears in journals such as Language Resources and Evaluation, Information Systems Frontiers, IEEE Computational Intelligence Magazine, Violence and Victims and Computer Speech & Language.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.