Revision history of "Project emotions@emails" (Q3678809)

12 March 2024

• curprev 16:5816:58, 12 March 2024‎ DG Regio talk contribs‎ 67,881 bytes +288‎ ‎Added qualifier: readability score (P590521): 0.3366958364817009

7 December 2023

• curprev 11:5611:56, 7 December 2023‎ DG Regio talk contribs‎ 67,593 bytes +1,604‎ ‎Changed an Item

9 June 2023

• curprev 21:1821:18, 9 June 2023‎ Admin talk contribs‎ 65,989 bytes +437‎ BatchIngestion

11 August 2022

• curprev 15:3515:35, 11 August 2022‎ DG Regio talk contribs‎ 65,552 bytes +44,991‎ ‎Changed label, description and/or aliases in et, lt, hr, el, sk, fi, pl, hu, cs, lv, ga, sl, bg, mt, pt, da, ro, sv, nl, fr, de, it, es, and other parts: Adding translations: et, lt, hr, el, sk, fi, pl, hu, cs, lv, ga, sl, bg, mt, pt, da, ro, sv,

14 January 2022

• curprev 00:4500:45, 14 January 2022‎ DG Regio talk contribs‎ 20,561 bytes +2,356‎ ‎Changed label, description and/or aliases in es, and other parts: Adding Spanish translations

13 January 2022

• curprev 07:3307:33, 13 January 2022‎ DG Regio talk contribs‎ 18,205 bytes +2,218‎ ‎Changed label, description and/or aliases in it, and other parts: Adding Italian translations

6 December 2021

• curprev 13:5413:54, 6 December 2021‎ DG Regio talk contribs‎ 15,987 bytes +2,184‎ ‎Changed label, description and/or aliases in nl, and other parts: Adding Dutch translations

1 December 2021

• curprev 07:4707:47, 1 December 2021‎ DG Regio talk contribs‎ 13,803 bytes +2,181‎ ‎Created claim: summary (P836): Das Projekt besteht in der Einrichtung einer Big-Data-Lösung, die automatisch die E-Mail-Emotion erkennt, um E-Mails und Kundeninhalte großer Gruppen besser zu verstehen, priorisieren und zu beantworten. Große Unternehmen können Millionen von E-Mails pro Monat von ihren Kunden erhalten. Die Bearbeitung von E-Mails (sogenannte eingehende E-Mails) generiert somit Tausende von Arbeitsstunden für Agenten, die mit Kunden in Verbindung stehen. Q°emoti...

27 November 2021

• curprev 12:1612:16, 27 November 2021‎ DG Regio talk contribs‎ 11,622 bytes −2,242‎ ‎Removed claim: summary (P836): Le projet consiste à la mise en place d‚une solution big data qui détecte automatiquement l‘émotion des mail pour mieux comprendre, priorizer et répondre aux E-Mail et des contenus client des grands groupes. Les grandes entreprises peuvent recevoir des millions d’emails par mois de la part de leurs Kunden. Le traitement des mail (dit entryrants) génère donc des Milliers d’heures de travail pour les agenten en lien avec les clients. Q°emotion,...

26 November 2021

• curprev 23:1023:10, 26 November 2021‎ DG Regio talk contribs‎ 13,864 bytes +2,242‎ ‎Created claim: summary (P836): Le projet consiste à la mise en place d‚une solution big data qui détecte automatiquement l‘émotion des mail pour mieux comprendre, priorizer et répondre aux E-Mail et des contenus client des grands groupes. Les grandes entreprises peuvent recevoir des millions d’emails par mois de la part de leurs Kunden. Le traitement des mail (dit entryrants) génère donc des Milliers d’heures de travail pour les agenten en lien avec les clients. Q°emotion, un...
• curprev 14:4314:43, 26 November 2021‎ DG Regio talk contribs‎ 11,622 bytes +82‎ ‎Changed label, description and/or aliases in de: translated_label

24 November 2021

• curprev 16:5416:54, 24 November 2021‎ DG Regio talk contribs‎ 11,540 bytes +431‎ ‎Changed an Item: Edited by the beneficiary bot - attach the beneficiary based on the string

22 November 2021

• curprev 11:1811:18, 22 November 2021‎ DG Regio talk contribs‎ 11,109 bytes +433‎ ‎Changed an Item: Edited by the materialized bot - inferring region from the coordinates

18 November 2021

• curprev 16:3916:39, 18 November 2021‎ DG Regio talk contribs‎ 10,676 bytes +82‎ ‎Changed label, description and/or aliases in en: translated_label
• curprev 16:3916:39, 18 November 2021‎ DG Regio talk contribs‎ 10,594 bytes +2,068‎ ‎Created claim: summary (P836): The project consists of the implementation of a big data solution that automatically detects the emotion of emails to better understand, prioritise and respond to emails and customer content of large groups. Large companies can receive millions of emails per month from their customers. The processing of emails (so-called entrants) therefore generates thousands of hours of work for agents connected with customers. Q°emotion, a startup based in th...
• curprev 09:3209:32, 18 November 2021‎ DG Regio talk contribs‎ 8,526 bytes +514‎ ‎Changed an Item: Edited by the infer coords bot - inferring coordiantes from postal codes

17 November 2021

• curprev 14:5014:50, 17 November 2021‎ DG Regio talk contribs‎ 8,012 bytes +7,341‎ ‎Changed an Item: importing one item from France
• curprev 14:5014:50, 17 November 2021‎ DG Regio talk contribs‎ 671 bytes −7,341‎ ‎Removed claims Tag: Replaced
• curprev 12:1312:13, 17 November 2021‎ DG Regio talk contribs‎ 8,012 bytes +4‎ ‎Changed label, description and/or aliases in en: Setting new description
• curprev 12:1312:13, 17 November 2021‎ DG Regio talk contribs‎ 8,008 bytes +8,008‎ ‎Created a new Item: importing one item from France