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@@ -11,7 +11,7 @@ news-please is an open source, easy-to-use news crawler that extracts structured
If you want to [contribute](#contributions) to news-please, please have a look at our list of [issues that need help](https://github.com/fhamborg/news-please/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22) or look [here](#contributions-and-custom-features).
## Announcements
03/23/2021: If you're interested in sentiment classification in news articles, check out our large-scale dataset for target-dependent sentiment classification. We also publish an easy-to-use neural model that achieves state-of-the-art performance. Visit the project [here (project will be published mid April, stay tuned)](https://github.com/fhamborg/NewsMTSC).
03/23/2021: If you're interested in sentiment classification in news articles, check out our large-scale dataset for target-dependent sentiment classification. We also publish an easy-to-use neural model that achieves state-of-the-art performance. Visit the project [here](https://github.com/fhamborg/NewsMTSC).
06/01/2018: If you're interested in news analysis, you might also want to check out our new project, [Giveme5W1H](https://github.com/fhamborg/Giveme5W1H) - a tool that extracts phrases answering the journalistic five W and one H questions to describe an article's main event, i.e., who did what, when, where, why, and how.