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The dataset provides information on each speech of ten words or longer, made in the House of Commons between 1980 and 2016, with information on the speaking MP, their party, gender and age at the time of the speech. The dataset also includes all speeches of ten words made from 1936 to 1979, without identifying information on the speaker.\n\nThe speeches have been classified for sentiment using a total of five libraries from the R packages `sentimentr`, `syuzhet` and `lexicon`.\n\nThe integrity of the public Hansard record is questionable at times, and while I have improved it, the data is presented 'as is'. More details on the dataset are available at: http://evanodell.com/datasets/hansard-data/","descriptionType":"Abstract"},{"description":"This is an updated version of http://doi.org/10.5281/zenodo.376665","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://zenodo.org/record/376839","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":null,"isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2017-03-13T07:35:02.000Z","registered":"2017-03-13T07:35:02.000Z","published":"2017","updated":"2020-09-18T19:18:32.000Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}},"provider":{"data":{"id":"cern","type":"providers"}},"media":{"data":{"id":"10.5281/zenodo.376839","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}