%0 Conference Paper %1 conf/dsaa/SyedS17 %A Syed, Shaheen %A Spruit, Marco R. %B DSAA %D 2017 %I IEEE %K coherence topic-models %P 165-174 %T Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation. %U http://dblp.uni-trier.de/db/conf/dsaa/dsaa2017.html#SyedS17 %@ 978-1-5090-5004-8

@inproceedings{conf/dsaa/SyedS17, added-at = {2021-12-07T15:29:06.000+0100}, author = {Syed, Shaheen and Spruit, Marco R.}, biburl = {https://www.bibsonomy.org/bibtex/2e5dbd53051c7ffa3eff6071e29fd530a/bsc}, booktitle = {DSAA}, crossref = {conf/dsaa/2017}, ee = {https://doi.org/10.1109/DSAA.2017.61}, interhash = {1f083813ff6a7e35823a75d1e5ad3882}, intrahash = {e5dbd53051c7ffa3eff6071e29fd530a}, isbn = {978-1-5090-5004-8}, keywords = {coherence topic-models}, pages = {165-174}, publisher = {IEEE}, timestamp = {2021-12-07T15:29:06.000+0100}, title = {Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation.}, url = {http://dblp.uni-trier.de/db/conf/dsaa/dsaa2017.html#SyedS17}, year = 2017 }