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 Bewertung

109 Bewertungen
  • Gesamt 4.6/5
  • Benutzerfreundlichkeit 4.2/5
  • Kundenservice 4.5/5
  • Funktionen 4.5/5
  • Preis-Leistungs-Verhältnis 4.6/5

Produktinformationen

  • Startpreis 99,00 $/Monat
    Preisinformationen
  • Kostenlose Version Nein
  • Gratis Testen Ja, Kostenlose Testversion
  • Einsatz Cloud, SaaS, Web
    Installiert - Windows
  • Training Persönlich
    Live Online
    Webinare
    Dokumentation
  • Kundenbetreuung Support während der Geschäftszeiten

Angaben zum Hersteller

  • Texifter
  • http://texifter.com
  • Gegründet 2009

Über DiscoverText

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.

DiscoverText Funktionen

  • Boolesche Suchabfragen
  • Dokumentenfilterung
  • Empfindungsanalyse
  • Etikettierung
  • Grafische Präsentation von Daten
  • Prädiktives Modellieren
  • Spracherkennung
  • Taxonomie-Klassifizierung
  • Textanalyse
  • Themen-Clustering
  • Zusammenfassung

Die hilfreichsten Reviews für DiscoverText

Superb cloud-based software tool with powerful text analytics with social media integration.

Bewertet am 19.12.2017
Wasim A.
Teaching Assistant & Demonstrator
Hochschulbildung
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5/5
Gesamt
5/5
Benutzerfreundlichkeit
5/5
Eigenschaften & Funktionalitäten
5/5
Kundenbetreuung
5/5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

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.

We have been using the software to study twitter conversations on immigration going back to 2013.

Bewertet am 29.1.2018
Jim W.
Director, Center for Social Science Research & Professor of Sociology
Hochschulbildung
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
4/5
Gesamt
3/5
Benutzerfreundlichkeit
5/5
Eigenschaften & Funktionalitäten
4/5
Kundenbetreuung
5/5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: Easy data capture

Vorteile: It's ability to capture tweets and now the capacity to export to NodeXL gives us two tools that we use together to study the content and structure of immigration conversations onTwitter.

Nachteile: At times navigating the menus is counter-intuitive as is some of the terminology. Archives, buckets, datasets all kind of run into one another.

Antwort des Softwareanbieters

von Texifter an 30.1.2018

Dear Jim,

Thanks for your and the generosity of your Tweets. We really appreciate that!

I'd like the opportunity to visit GMU to make the case that archives, buckets, and datasets are essential parts of the text analytics methods we have engineered. Please email info@texifter.com if you would like to host a free workshop.

Briefly:

- Archives are raw data.
- Buckets are subsets of raw data.
- Datasets are coded by humans.

Most projects proceed from 1 or more archives, to many buckets, to a series of codeable datasets. For example:

- Collect 100,000 #metoo tweets
- Deduplicate the archive
- Create a bucket of seeds and singles
- Search the bucket for key terms
- Create a new bucket with results
- Create a dataset and code it for relevance
- Train a relevance classifier
- Apply the classifier to new archive samples
- Repeat as needed

The key point is that raw data is messy in the archives, cleaner in buckets, and fully refined and classified in datasets.

Twitter and text analysis

Bewertet am 21.4.2019
Demirdis S.
Full Time PhD Student
Hochschulbildung, 5.001-10.000 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Quelle des Nutzers 
5/5
Gesamt
5/5
Benutzerfreundlichkeit
5/5
Eigenschaften & Funktionalitäten
5/5
Kundenbetreuung
5/5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Vorteile: Discovertext provides huge number of filtering options. I am doing a research about Twitter users and my data size is very large. Firstly, Discovertext help me to clean my data by using duplicate and near duplicate functions. Secondly, Coding is very easy by using Discovertext, It is really time saver. I should classify key influencers and most retweeted tweets etc., It has easily done by provided filters. Finally, Discovertext automatically create reports related to results.

Nachteile: Sometimes, I do not understand some filtering options and could not find a information about them but helps always provided by customer support quickly.

Antwort des Softwareanbieters

von Texifter an 26.4.2019

Demirdis,

Thanks for sharing the feedback and we are always happy to sort out anything that might be a challenge.

https://calendly.com/discovertext
https://texifter.zendesk.com/hc/en-us

Good luck with your work!
Thank-you,
~Stu

Great for analyzing social media data- just not offline documents.

Bewertet am 7.4.2018
Katarina A.
Executive MBA Student
Verwendete die Software für: 1-5 Monate
Quelle des Nutzers 
2/5
Gesamt
2/5
Benutzerfreundlichkeit
2/5
Eigenschaften & Funktionalitäten
3/5
Kundenbetreuung
5/5
Preis-Leistungs-Verhältnis

Vorteile: If you need to analyze data from social media and survey monkey- it's a great tool. You can search for content by keywords and the data drops in per the chosen frequency. It breaks down keywords and phrases to a list in order of use- where you can drill into each word or phrase to see where it's used and also toggle between different ways of displaying the results.

Nachteile: I got the trial version to see if it would suit my purpose; I required a tool to analyze and cluster data from articles and other sources but just couldn't get it to work. If the trial period had been longer than 3 days ( I thought I signed up for 30- it's not very clear) I might have had time to figure it out. Better instructions would have helped. The instructions tell you what the features are, not why you need to use them which is not helpful for novice users.

Antwort des Softwareanbieters

von Texifter an 5.9.2018

Katarina,

Sorry for the confusion about the length of the free trial. It was 30-days for many years and we changed it to 3 only recently. Please send a request to info@texifter.com and I will send you a 6-month license.

For details about the features, we suggest you review some of the support materials:

https://texifter.zendesk.com/hc/en-us

As to why use the tools, perhaps review the tutorials:

https://discovertext.com/tutorials/

You might also find some answers as to why use the tools here, in the 200+ academic citations of the tools:

https://discovertext.com/publications/

Finally, I am available for 1-1 web trainings:

https://calendly.com/discovertext

So, I think you may not have fully tried to use all the customer support options. We work very hard to make sure newcomers get comfortable quickly.

Stu

Excellent tool for group coding, text cleaning, deduplication, and training ML models

Bewertet am 24.4.2019
Shawn W.
Assistant Professor
Bildungsmanagement, 5.001-10.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5/5
Gesamt
4/5
Benutzerfreundlichkeit
5/5
Eigenschaften & Funktionalitäten
5/5
Kundenbetreuung
5/5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: I use DiscoverText as a way to introduce my students to qualitative coding at the unit level, data cleaning, and training an ML model. It's a great tool for students without programming experience to work with data. In my own work, I use it to clean, deduplicate, and code social media datasets. The data cleaning and search functions are very powerful. The ML training features are also quite powerful.

Vorteile: The deduplication tools are amazing. Group coding is a snap. So is creating and testing training datasets.

Nachteile: The interface can take a little while to get the hang of -- some of the options are a little hidden, but the support is VERY responsive and the tutorials are helpful. This is not software that you can just click your way through without reading a little of the documentation -- but what would you expect with a powerful tool?

Antwort des Softwareanbieters

von Texifter an 26.4.2019

Dear Shawn,

I like to say those who know it best use it best. As user #4 out of thousands, we can safely pronounce you as "one who knows it best."

Warmest regards,
~Stu

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