von Texifter4.5 / 5 108 Bewertungen
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 Bewertung108 Bewertungen
- Gesamt 4.5 / 5
- Benutzerfreundlichkeit 4 / 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 während 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.
Bewertet am 29.12.2018
A much better way to scrape data than learning how to code an API
Kommentare: I'm a PhD candidate who straddles the Humanities and Social Sciences, so I use DiscoverText as a research tool.
Vorteile: My review of DiscoverText is a bit limited because I'm really only using it for Twitter. That said, the features are incredible. I know a bit about coding, but the prospect of learning JSON to use Twitter's API was doable but daunting. When I came across DiscoverText I was so pleased to find a way to search, use, and categorize Twitter data that made sense and would save me A LOT of time. I didn't anticipate getting access to so much useful metadata that was easy to navigate and use, so I was pleasantly surprised. The built-in bucket and dataset features are great ways to organize the massive amount of Twitter data that can be collected. The ability to code the data with peers within DiscoverText is also super useful. I really can't exaggerate how many features DiscoverText has that I didn't think I would need but have used to improve the quality of my scholarship.
Nachteile: The software has many features that I didn't find on my own, so the UI could be improved a bit. That said, the one-on-one tutorial that the founder provides helps mitigate this issue. The tutorial videos are helpful too! You'll just have to be prepared to set aside a few hours to really learn the program.
Antwort des Softwareanbieters
von Texifter an 2.1.2019
It is really hard to express how inspirational a review like this is. You have really made our day. We are looking at 2019 trying to decide if this is the year to build v2 of a 9 year old interface. Thanks for embracing buckets & datasets; this was a tough sell to some folks over the years, but they are critical to User success.
We are very grateful you took the time to write this generous review. Please write us if we can do anything for you.
Bewertet am 10.10.2018
Unique tool for academic research with a wide range of features
Kommentare: We are an academic institution using Discovertext to study social media use related to disaster preparedness and response. We’ve used the platform to code, filter, classify and analyze historical Twitter data (about 1.5 million tweets), which has opened new opportunities in academic research of social media use. We have used collaborative coding processes and individual coding, the combination of which makes this platform a unique tool for data analysis. We hope it continues to exist and improve as it provides a great service for research like ours.
- The software allows to code and machine-classify thousands of tweets per day through its filtering, search and other advanced features.
- The fact that is cloud-based makes it very convenient to work collaboratively with very large amounts of data from anywhere.
- The metadata and tag cloud features are very useful throughout the whole coding and analysis processes.
Customer support is great and normally very timely.
Nachteile: The software has many extremely useful features, but sometimes it has been hard to keep track of exactly how to use them and where to find them, especially because they are constantly evolving as the developers improve existing features, and add new features and functionalities. It would be helpful to have online User Manual that contains the exact way to use function, what each function does, and how to access them easily.
Antwort des Softwareanbieters
von Texifter an 26.4.2019
It has been a pleasure working with your group and I hope the research continues to bear fruit for you and the team.
We are very grateful for this careful and thoughtful review.
Bewertet am 3.1.2018
A perfect tool to explore, collect, search, store, manage, code and classify the Twitter universe.
Kommentare: The ability to work with Twitter data.
Vorteile: As a social scientist, I lack the computational skills to work with Twitter data. In fact, Im not interested in doing data science, I want to do social science. DiscoverText allows me to collect and analyze large batches of Twitter data. Many of my colleagues spend hours having students copy and paste tweets into the Excel. DiscoverText is a breeze.
Nachteile: There are a number of different classification algorithms like linear or logistic regression, decision tree, SVM, and random forest. DiscoverText just uses naive bayes. I wish the software allowed for more different types of these algorithms.
Antwort des Softwareanbieters
von Texifter an 24.1.2018
Thanks for taking the time to write a review. We do have a long term road map that calls for exactly what you are asking for. It is my hope that we can launch a new extension of the platform to host other classifiers. We agree that the inclusion of other approaches would represent an exciting next step in the evolution of the platform. We literally aspire to be the iTunes of machine classifiers ;-)
So, I promise it will happen some day. For now, the uClassify engine that we license is working great on all languages and in all sorts of projects.