Wer nutzt diese Software?
Fortune-1000-Unternehmen, Wissenschaftler und Behörden, die Analytics-Lösungen benötigen, die den Prozess der Erfassung, Speicherung und des gemeinsamen Arbeitens an Dokumenten vereinfachen wollen.
Durchschnittliche Bewertung84 Bewertungen
- Gesamt 4.5 / 5
- Benutzerfreundlichkeit 4.5 / 5
- Kundenservice 4.5 / 5
- Funktionen 4.5 / 5
- Preis-Leistungs-Verhältnis 4.5 / 5
- Kostenlose Version Nein
- Kostenlose Testversion Ja, Kostenlose Testversion
Cloud, SaaS, Web
Installiert - Windows
Support währen der Geschäftszeiten
Angaben zum Hersteller
- Gegründet 2009
Web-basierte kollaborative Textanalyse-System, das Wissenschaftler, Unternehmen ermöglicht, und Regierungen holt aus Twitter zu planen, Import von Surveymonkey, E-Mail oder einer Tabelle zu suchen, filtert, Cluster, Mensch-Code und Maschinen klassifizieren Text. Texifters CoderRank Patent konzentriert sich auf die algorithmischen Techniken analog zu Google PageRank für Web-Suche, aber zugeschnitten großen Maßstab, kollaborative Textanalyse durch eine verbesserte Maschine-Lernen zu verbessern und die gamification der Menge Quellencodierung.
- Boolesche Suchabfragen
- Grafische Präsentation von Daten
- Prädiktives Modellieren
Die hilfreichsten Reviews für DiscoverText
Bewertet am 19.12.2017
Superb cloud-based software tool with powerful text analytics with social media integration.
Kommentare: It allowed me to conduct research that otherwise would not have been possible including both industry and academic projects.
Vorteile: The ability for those from the social sciences to be able to import and/or retrieve social media data, including historical data from Twitter, and analyse the data in order to answer research questions. This is because other tools may require a computer science background. Consequently, DiscoverText has been used in answering important social science questions leading to peer reviewed outputs. Over the years I have seen many tools appear and slowly wither away, however, DiscoverText has stood the test of time and has been growing in popularity. DiscoverText is not limited to academic uses and has a number of neat uses in the commercial world. A useful feature applicable to the commercial domain is the ability to retrieve and/or import data from Twitter and identify influential Twitter users, with the additional ability to use machine learning to sift influential users into different groups. For example, a football club may be interested to find out whether influential users are fans of the club or whether it is opposition fans causing a storm. To the best of my knowledge, no other tool is capable of doing this with this level of accuracy.
Nachteile: To be fair this is not a limitation of DiscoverText per se, as this is a restriction from Twitter, but there is a limit to how many units of tweets can be exported per day. This is not a major issue because there are enough features in DiscoverText that you may not necessarily need to export the data. This is particularly true with a recent integration with NodeXL which provides the ability to export directly to a format supported by NodeXL.
Bewertet am 25.2.2018
DiscoverText is a great tool for collecting, sorting, and analyzing data
Vorteile: DiscoverText is a great tool for collecting, sorting, and analyzing data. The platform allows for collection of data from various networks, such as Twitter. I mainly use the platform for coding and machine-classification of tweets. The import feature allows for integration between DiscoverText and other interfaces. For a client project, our data was collected from another toolkit and formatted in an Excel CSV. We were able to import the data into DiscoverText and use the platform to code and machine-classify the tweets. When working with multiple coders, the platform enables you to quickly and efficiently measure inter-coder reliability, which is helpful to determine validity of codes and which categories may need re-classification. I also like the export feature, which allows you to export coding/classification reports. The platform produces different visualizations (e.g. pie charts/graphs) of the coding breakdown, or you can export the entire report into another file (such as a CSV). Overall, I've had a great experience using DiscoverText for both in-class and client research projects. I will continue to use the platform for future research projects, especially the coding and machine-classification functionalities!
Nachteile: When first using the software, it could be a little difficult for a beginning user to identify where all of the features are located and their specific purpose (e.g. exporting reports, buckets, duplicating a dataset). However, the training sessions, video tutorials, and manuals are very insightful and can help immensely with learning of the new features. As with any new platform, it just takes a bit of time to learn all of the features!
Antwort des Softwareanbieters
von Texifter an 7.3.2018
Thanks very much for this detailed review Brittany. As always, if we can do anything to help, drop us a line or schedule a web meeting.