[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/coling-2024-lan-israparltweet-israeli-parliamentary-twitter-resource/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/he/) / IsraParlTweet: The Israeli Parliamentary and Twitter Resource # IsraParlTweet: The Israeli Parliamentary and Twitter Resource **Authors:** [Guy Mor-Lan](https://md.mova.elamur.ai/free/en/docs/papers/authors/guy-mor-lan/); Effi Levi; [Tamir Sheafer](https://md.mova.elamur.ai/free/en/docs/papers/authors/tamir-sheafer/); [Shaul R. Shenhav](https://md.mova.elamur.ai/free/en/docs/papers/authors/shaul-r-shenhav/) · **Year:** 2024 · **Venue:** Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) **Link:** [aclanthology.org/2024.lrec-main.819](https://aclanthology.org/2024.lrec-main.819/) · library `coling-2024-lan-israparltweet-israeli-parliamentary-twitter-resource` · **Licence:** [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — summary only [**3** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coling-2024-lan-israparltweet-israeli-parliamentary-twitter-resource/) of the 140673 papers whose bibliographies we read[Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)](https://aclanthology.org/volumes/2024.lrec-main/)[licence](https://creativecommons.org/licenses/by-nc/4.0/) - [Publisher's page](https://aclanthology.org/2024.lrec-main.819/) - [PDF](https://aclanthology.org/2024.lrec-main.819.pdf) **Authors (4)** 1. Guy Mor-Lan 2. Effi Levi [Semantic Scholar](https://www.semanticscholar.org/author/144380842) 3. Tamir Sheafer [Semantic Scholar](https://www.semanticscholar.org/author/2389876) 4. Shaul R. Shenhav [Semantic Scholar](https://www.semanticscholar.org/author/1860020) Citations and author metrics from OpenAlex (); authors with the same name are not always told apart. ## What it is about The paper presents a linked corpus of modern Hebrew: Knesset plenary speeches from 1992 to 2023 (about 4.5M utterances, 271M tokens) and tweets by MKs from 2008 to 2023 (about 821K tweets, 23M tokens), 294.5M tokens in all. Speeches are extracted from DOC/DOCX protocols with style-tag pipelines checked by hand, and speakers are matched to a metadata file. Stanza gives morphology and lemmas, and a Hebrew BERT model gives sentence sentiment. The analyses are descriptive: POS shares per platform, type/token ratio (0.13 Knesset, 0.22 Twitter), sentiment, and gender differences in token share and distinctive lemmas. It is a resource and an analysis, not a parser or a test set. ## Ideas - I1. Register profile for Modern Hebrew: the POS shares per platform (Table 3) give a target profile, for example PROPN 3.6% in speeches against 6.7% in tweets. A tagger run on unvocalised Hebrew should stay close to these shares on the same kind of text, so a drift shows up as a number. - I2. Per-document type/token ratio as a sanity measure on any Hebrew corpus Mova parses: a parser change that merges or splits lemmas moves the ratio, so the change is visible before it reaches a claim. - I3. Raw unvocalised modern Hebrew as a segmenter test sample: the tweets (short, informal, unpointed) exercise the script and clitic rules that the speeches (formal) do not. Use only as a measurement, because the licence is non-commercial. ## For Mova I1 goes into [2. Script and spelling](https://md.mova.elamur.ai/free/en/docs/languages/he/02-script-and-spelling/) as a register note and into the check list of [11. Modern Hebrew in Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/languages/he/11-ud-analysis/). I2 is a small tool check for `tools/` and the statistics in `docs/`. I3 is a test, not training data: nothing from this corpus goes into a model or a release. ## Cite The paper itself, not this card. BibTeX from the library's record of the work. ``` @inproceedings{morlan2024israparltweet, title = {{IsraParlTweet: The Israeli Parliamentary and Twitter Resource}}, author = {Mor-Lan, Guy and Levi, Effi and Sheafer, Tamir and Shenhav, Shaul R.}, booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}, year = {2024}, url = {https://aclanthology.org/2024.lrec-main.819/} } ``` - [← previous Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/coling-2018-amram-representations-architectures-neural-sentiment-analysis/) - [next → Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text](https://md.mova.elamur.ai/free/en/docs/papers/coref-2026-greenfeld-beyond-word-boundaries-hebrew-coreference/) - [↑ back to Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/he/) ## References 18 references, 2 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet. 1. Giuseppe Abrami, Mevlüt Bagci, Leon Hammerla, and Alexander Mehler. 2022. German parliamentary corpus (GerParCor). In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1900–1906, Marseille, France. European Language Resources Association. [find](https://scholar.google.com/scholar?q=Giuseppe+Abrami%2C+Mevl%C3%BCt+Bagci%2C+Leon+Hammerla%2C+and+Alexander+Mehler%2E+2022%2E+German+parliamentary+corpus+%28GerParCor%29%2E+In+Proceedings+of+the+Thirteenth+Language+Resources+and+Evaluation+Conference%2C+pages+) 2. Željko Agić and Ivan Vulić. 2019. Jw300: A wide-coverage parallel corpus for low-resource languages. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 3204–3210. 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[↗](https://doi.org/10.1287/ijds.2022.0016) [our card](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/) 6. Stian Rødven Eide. 2020. Anföranden: Annotated and augmented parliamentary debates from sweden. In Proceedings of the Second ParlaCLARIN Workshop, pages 5–10. [find](https://scholar.google.com/scholar?q=Stian+R%C3%B8dven+Eide%2E+2020%2E+Anf%C3%B6randen%3A+Annotated+and+augmented+parliamentary+debates+from+sweden%2E+In+Proceedings+of+the+Second+ParlaCLARIN+Workshop%2C+pages+5%E2%80%9310%2E) 7. Tomaž Erjavec, Maciej Ogrodniczuk, Petya Osenova, Nikola Ljubešić, Kiril Simov, Vladislava Grigorova, Michał Rudolf, Andrej Pančur, Matyáš Kopp, Starkaður Barkarson, et al. 2021. Multilingual comparable corpora of parliamentary debates parlamint 2.1. 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Itzhak Galnoor and Dana Blander. 2018. The handbook of Israel’s political system. Cambridge University Press. [↗](https://doi.org/10.1017/9781316160978) 10. Fabrizio Gilardi, Theresa Gessler, Maël Kubli, and Stefan Müller. 2022. Social media and political agenda setting. Political Communication, 39(1):39–60. [↗](https://doi.org/10.1080/10584609.2021.1910390) 11. Reuven Y Hazan. 2022. Parliamentary elections in israel (1 november de 2022). Polis, 2(6):291–295. [find](https://scholar.google.com/scholar?q=Reuven+Y+Hazan%2E+2022%2E+Parliamentary+elections+in+israel+%281+november+de+2022%29%2E+Polis%2C+2%286%29%3A291%E2%80%93295%2E) 12. Reuven Y Hazan, Reut Itzkovitch-Malka, and Gideon Rahat. 2017. Electoral systems in context: Israel. [↗](https://doi.org/10.1093/oxfordhb/9780190258658.013.43) 13. Ofer Kenig and Gideon Rahat. 2023. ל א ר ש י ב ת ו ג ל פ מ ה 1 9 9 2 - 2 0 2 1 [Unvocalized Hebrew writing: Political parties in Israel 1992-2021]. Israel Democracy Institute. 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[find](https://scholar.google.com/scholar?q=Burt+L+Monroe%2C+Michael+P+Colaresi%2C+and+Kevin+M+Quinn%2E+2008%2E+Fightin%E2%80%99words%3A+Lexical+feature+selection+and+evaluation+for+identifying+the+content+of+political+conflict%2E+Political+Analysis%2C+16%284%29%3A372%E2%80%93403) 16. Odelia Oshri, Omer Yair, and Leonie Huddy. 2021. The effects of attachment to an ideological group in multi-party systems: Evidence from israel. Party Politics. [find](https://scholar.google.com/scholar?q=Odelia+Oshri%2C+Omer+Yair%2C+and+Leonie+Huddy%2E+2021%2E+The+effects+of+attachment+to+an+ideological+group+in+multi%2Dparty+systems%3A+Evidence+from+israel%2E+Party+Politics%2E) 17. Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D. Manning. 2020. Stanza: A Python natural language processing toolkit for many human languages. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. [↗](https://doi.org/10.18653/v1/2020.acl-demos.14) [our card](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-qi-stanza-python-natural-language-processing/) 18. Bruno Castanho Silva and Sven-Oliver Proksch. 2022. Politicians unleashed? political communication on twitter and in parliament in western europe. Political science research and methods, 10(4):776–792. [↗](https://doi.org/10.1017/psrm.2021.36)