Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches.
- DOI
- 10.3389/fdata.2022.886362
- Published
- 2022
- Container
- Frontiers in big data
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fdata.2022.886362,
title = {Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches.},
author = {Munnes S and Harsch C and Knobloch M and Vogel JS and Hipp L and Schilling E},
year = {2022},
journal = {Frontiers in big data},
doi = {10.3389/fdata.2022.886362},
url = {https://doi.org/10.3389/fdata.2022.886362}
}RIS
TY - JOUR TI - Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches. AU - Munnes S AU - Harsch C AU - Knobloch M AU - Vogel JS AU - Hipp L AU - Schilling E PY - 2022 JO - Frontiers in big data DO - 10.3389/fdata.2022.886362 UR - https://doi.org/10.3389/fdata.2022.886362 ER -
APA
S, M., C, H., M, K., JS, V., L, H., & E, S. (2022). Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches.. Frontiers in big data. https://doi.org/10.3389/fdata.2022.886362
Source records
- pubmed · retrieved 2026-09-27T08:43:09.546Z