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User testimonials #461

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kbenoit opened this Issue Jan 14, 2017 · 25 comments

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kbenoit commented Jan 14, 2017

Please use this issue to add your testimonials, experiences, feedback, etc. We would love to hear from you.

Updated consent notice 2017-10-06:

Note that in leaving a testimonial, you provide consent for us to reproduce it on our website http://quanteda.io or in other promotional materials for the package, should we choose to do so. We will attribute this only to your GitHub account, which means in effect that it will not add any additional information than what you will have already posted to this issue (which means the comment and your GitHub username).

Thanks very much!

-- @kbenoit and the whole quanteda team

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BobMuenchen Jan 24, 2017

The quanteda package has become the starting point for all my text analysis projects in R. This is due to its superb ability to prepare the data for analysis regardless of the method one might prefer. Single words are notoriously ambiguous, and quanteda can help find phrases (ngrams), and convert them to single terms before removing any stop words that they may contain. When the data is prepared, quanteda's convert function makes it easy to transfer the data to a wide range of other packages such as topicmodels or lsa.

quanteda also contains functions to create dictionaries that automate the identification of topics, and it can import and apply the wide range of existing dictionaries that exist in several formats.

The quanteda package has become the starting point for all my text analysis projects in R. This is due to its superb ability to prepare the data for analysis regardless of the method one might prefer. Single words are notoriously ambiguous, and quanteda can help find phrases (ngrams), and convert them to single terms before removing any stop words that they may contain. When the data is prepared, quanteda's convert function makes it easy to transfer the data to a wide range of other packages such as topicmodels or lsa.

quanteda also contains functions to create dictionaries that automate the identification of topics, and it can import and apply the wide range of existing dictionaries that exist in several formats.

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cbpuschmann Jan 25, 2017

Quanteda is an excellent resource for both research and teaching than complements R in a way that is invaluable to me -- only switching to Python would offer comparable benefits. It is far superior to related packages (e.g. tm) and so well documented that I use it centrally when teaching text mining.

I hope that the package's rapid development will continue, with the integration of further exciting features, such as integration with the package topicmodels, supervised ML, easy application of dictionaries/thesauri etc in the future. Quanteda constitutes a major step forward for social scientists interested in text mining.

Quanteda is an excellent resource for both research and teaching than complements R in a way that is invaluable to me -- only switching to Python would offer comparable benefits. It is far superior to related packages (e.g. tm) and so well documented that I use it centrally when teaching text mining.

I hope that the package's rapid development will continue, with the integration of further exciting features, such as integration with the package topicmodels, supervised ML, easy application of dictionaries/thesauri etc in the future. Quanteda constitutes a major step forward for social scientists interested in text mining.

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jofrerocabert Jan 26, 2017

Quanteda has been a greatly valuable tool for my research. Text analysis is a rapidly expanding field with new applications appearing rapidly in the social sciences. This package simplifies many of the tasks and allows me to implement more sophisticated classifiers for a more detailed analysis.

Quanteda has been a greatly valuable tool for my research. Text analysis is a rapidly expanding field with new applications appearing rapidly in the social sciences. This package simplifies many of the tasks and allows me to implement more sophisticated classifiers for a more detailed analysis.

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kbenoit Jan 27, 2017

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kbenoit commented Jan 27, 2017

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methodds Jan 29, 2017

Quanteda is my favorite toolbox for natural language processing and its so nice to see how much progress you made within the last year. As of now, the package can even be used as a complete NLP backbone for interactive web apps.
In the future I'd love to see better workflow integration with the tidyverse packages and supervised models.
Thank you so much Ken and the whole quanteda team for creating yet another awesome package! =)

Quanteda is my favorite toolbox for natural language processing and its so nice to see how much progress you made within the last year. As of now, the package can even be used as a complete NLP backbone for interactive web apps.
In the future I'd love to see better workflow integration with the tidyverse packages and supervised models.
Thank you so much Ken and the whole quanteda team for creating yet another awesome package! =)

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DenisaKost Feb 9, 2017

I am a political scientist, without a background either in computer science or natural language processing. I have used quanteda to analyse a large volume of textual data in four different languages from the Balkans. This user-friendly package has allowed me to apply quantitative text analysis to make a major theoretical breakthrough in my field of study, which is post-conflict justice and peacebuilding. I have particularly benefited from quanteda’s meticulous documentation, which I consulted regularly to carry out my analysis.

I am a political scientist, without a background either in computer science or natural language processing. I have used quanteda to analyse a large volume of textual data in four different languages from the Balkans. This user-friendly package has allowed me to apply quantitative text analysis to make a major theoretical breakthrough in my field of study, which is post-conflict justice and peacebuilding. I have particularly benefited from quanteda’s meticulous documentation, which I consulted regularly to carry out my analysis.

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lmkirvan Apr 12, 2017

This package is amazing! I use it on a daily basis to perform a large number of text analysis tasks. The responsiveness of Ken and the rest of the team is simply amazing. They really pay attention to and help their users. Others at my federal agency now use it frequently for text analysis in R too (once others saw how clean my code was and how fast it ran it didn't take much convincing).

I personally use it to understand complaints submitted by hundreds of thousands of consumers. The whole agency benefits from being able to understand more text from our stakeholders faster. Kudos to the whole team.

This package is amazing! I use it on a daily basis to perform a large number of text analysis tasks. The responsiveness of Ken and the rest of the team is simply amazing. They really pay attention to and help their users. Others at my federal agency now use it frequently for text analysis in R too (once others saw how clean my code was and how fast it ran it didn't take much convincing).

I personally use it to understand complaints submitted by hundreds of thousands of consumers. The whole agency benefits from being able to understand more text from our stakeholders faster. Kudos to the whole team.

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kbenoit Apr 13, 2017

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Thanks so much @lmkirvan for the kind words, and keep those feature requests and bug reports coming - we welcome the feedback as a way to improve the package!

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kbenoit commented Apr 13, 2017

Thanks so much @lmkirvan for the kind words, and keep those feature requests and bug reports coming - we welcome the feedback as a way to improve the package!

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andremog May 1, 2017

I participated in one of the text analysis workshops about the quanteda package in April 2017. The package offers a wide range of functions applicable to many use cases. Even though I am relatively new to text analysis methodologies in general, the package has a very intuitive structure for its commands, making them easy to understand. Its powerful commands allow complex analyses with just a few lines of codes, building and replicating results quickly (as all commands run quite fast). The development team is open to user requests (e.g. requests for new features) and willing to help address difficult use cases. Thanks a lot to the team!

andremog commented May 1, 2017

I participated in one of the text analysis workshops about the quanteda package in April 2017. The package offers a wide range of functions applicable to many use cases. Even though I am relatively new to text analysis methodologies in general, the package has a very intuitive structure for its commands, making them easy to understand. Its powerful commands allow complex analyses with just a few lines of codes, building and replicating results quickly (as all commands run quite fast). The development team is open to user requests (e.g. requests for new features) and willing to help address difficult use cases. Thanks a lot to the team!

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kbenoit May 1, 2017

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Thanks @andremog and glad you found the workshop useful!

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kbenoit commented May 1, 2017

Thanks @andremog and glad you found the workshop useful!

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SeraphineM May 9, 2017

Quanteda offers a range of powerfull tools and is currently the best package available for doing quantitative text analysis in R. Apart from this, what I particularly like about the package is the easy implementation of dictionaries in various formats. Noteworthy is here also the impressively quick and efficient support of the developers in case of bugs: keep up the good work and thank you!

Quanteda offers a range of powerfull tools and is currently the best package available for doing quantitative text analysis in R. Apart from this, what I particularly like about the package is the easy implementation of dictionaries in various formats. Noteworthy is here also the impressively quick and efficient support of the developers in case of bugs: keep up the good work and thank you!

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kbenoit May 9, 2017

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Thanks @SeraphineM !

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kbenoit commented May 9, 2017

Thanks @SeraphineM !

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lgreski May 18, 2017

Hello Ken. I recommend quanteda to students in the Johns Hopkins University Data Science Specialization Capstone project, and include an analysis of the runtime for creating various sized ngrams for the Heliohost Corpus.

regards,

Len

lgreski commented May 18, 2017

Hello Ken. I recommend quanteda to students in the Johns Hopkins University Data Science Specialization Capstone project, and include an analysis of the runtime for creating various sized ngrams for the Heliohost Corpus.

regards,

Len

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Fantastic! Thanks for the endorsement and vote of confidence @lgreski.

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kbenoit commented May 18, 2017

Fantastic! Thanks for the endorsement and vote of confidence @lgreski.

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Pedromoisescamacho Aug 11, 2017

quanteda is the most understandable and faster text mining package that I have tried. In comparison with TM (the most popular package), quanteda is lighting fast and the workflow is more logical.

quanteda is the most understandable and faster text mining package that I have tried. In comparison with TM (the most popular package), quanteda is lighting fast and the workflow is more logical.

@kbenoit kbenoit referenced this issue Aug 28, 2017

Closed

new quanteda R #934

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johnzfeng Aug 28, 2017

Quanteda is a great tool to my work. Compared to TM (the most popular text analysis package in R), RTextTools and others, Quanteda is easier to use and runs faster. Kbenoit also responds to issues promptly. I am looking forward to the new Quanteda features he is building.

I recommend Quanteda to all levels of text miners.

Quanteda is a great tool to my work. Compared to TM (the most popular text analysis package in R), RTextTools and others, Quanteda is easier to use and runs faster. Kbenoit also responds to issues promptly. I am looking forward to the new Quanteda features he is building.

I recommend Quanteda to all levels of text miners.

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kbenoit Oct 6, 2017

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@johnzfeng @Pedromoisescamacho @SeraphineM @andremog
Hope you’ve been enjoying our improvements to quanteda!

We’re revamping the http://quanteda.io website and may use a few testimonials. Would you mind if we used yours from this issue? (I've emailed the others directly but did not find your addresses.) We did not have a consent notice when you posted the comment, so I wanted to ask your permission first. See the updated notice above for details.

Feel free to reply here with a 👍 to this comment to give assent, or if you prefer, reply to me directly at kbenoit@lse.ac.uk.

Thanks!

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kbenoit commented Oct 6, 2017

@johnzfeng @Pedromoisescamacho @SeraphineM @andremog
Hope you’ve been enjoying our improvements to quanteda!

We’re revamping the http://quanteda.io website and may use a few testimonials. Would you mind if we used yours from this issue? (I've emailed the others directly but did not find your addresses.) We did not have a consent notice when you posted the comment, so I wanted to ask your permission first. See the updated notice above for details.

Feel free to reply here with a 👍 to this comment to give assent, or if you prefer, reply to me directly at kbenoit@lse.ac.uk.

Thanks!

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andremog Oct 6, 2017

@kbenoit No problem at all. Thanks!

andremog commented Oct 6, 2017

@kbenoit No problem at all. Thanks!

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johnzfeng Oct 6, 2017

Thanks for the update, kbenoit. Quanteda is a very convenient and easy to use text analytic tool. I am glad that you are making more progress and I am looking forward to using the updated function.

Thanks for the update, kbenoit. Quanteda is a very convenient and easy to use text analytic tool. I am glad that you are making more progress and I am looking forward to using the updated function.

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jansenjoost Oct 26, 2017

As a PhD candidate in Sociology I do text analysis on a daily basis and the quanteda package is, by far, the most convenient, consistent to work with, and comprehensive package I've worked with. @kbenoit and his co-developers are constantly busy trying to extend quanteda's functionality. Moreover, they provide excellent and really quick support to all of your questions (e.g. on the Stack Overflow platform), as simple or difficult as they might be. I'll defenitely spread the word amongst my colleagues.

jansenjoost commented Oct 26, 2017

As a PhD candidate in Sociology I do text analysis on a daily basis and the quanteda package is, by far, the most convenient, consistent to work with, and comprehensive package I've worked with. @kbenoit and his co-developers are constantly busy trying to extend quanteda's functionality. Moreover, they provide excellent and really quick support to all of your questions (e.g. on the Stack Overflow platform), as simple or difficult as they might be. I'll defenitely spread the word amongst my colleagues.

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dkholo Feb 6, 2018

I am on the other hand has already initiated the on-boarding process of quanteda to Power BI cloud service. So soon it will be possible to publish beautiful quanteda dashboards and share them globally. My encounter with quanteda started as a part of my ML course project, I was trying to detect fluctuations of negativity in the large sets of documents over time. Initially I was planning to use tm package, but this package could not handle the work load. I was completely blocked and was considering alternative options for my project. Then my professor suggested to use quanteda. I was quickly unlocked and was able process 50 million rows of text on a small laptop. I was easily able to complete my project. I can see a great potential in this project. With Power BI integration the data scientists of the world will have a chance of utilizing the quanteda capabilities on dynamic text data sources and utilizing the text analytics beyond the limits of lexical studies. I personally depend on xray chart evolution and capability expansion. I plan on building real time text to data dashboards in the near future.

dkholo commented Feb 6, 2018

I am on the other hand has already initiated the on-boarding process of quanteda to Power BI cloud service. So soon it will be possible to publish beautiful quanteda dashboards and share them globally. My encounter with quanteda started as a part of my ML course project, I was trying to detect fluctuations of negativity in the large sets of documents over time. Initially I was planning to use tm package, but this package could not handle the work load. I was completely blocked and was considering alternative options for my project. Then my professor suggested to use quanteda. I was quickly unlocked and was able process 50 million rows of text on a small laptop. I was easily able to complete my project. I can see a great potential in this project. With Power BI integration the data scientists of the world will have a chance of utilizing the quanteda capabilities on dynamic text data sources and utilizing the text analytics beyond the limits of lexical studies. I personally depend on xray chart evolution and capability expansion. I plan on building real time text to data dashboards in the near future.

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MatthewLacombe Feb 13, 2018

I'm a PhD candidate in political science and Quanteda has been a wonderful resource for me. It's very user-friendly, allows for quick and flexible preparation of data, includes a comprehensive set of functions in a single package, and runs fast. Further, Ken and the rest of the team are incredibly responsive to inquiries and are very helpful in their replies. I'll happily recommend to my colleagues!

I'm a PhD candidate in political science and Quanteda has been a wonderful resource for me. It's very user-friendly, allows for quick and flexible preparation of data, includes a comprehensive set of functions in a single package, and runs fast. Further, Ken and the rest of the team are incredibly responsive to inquiries and are very helpful in their replies. I'll happily recommend to my colleagues!

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enrico200165 Jun 20, 2018

I am senior in IT but junior in NLP, came to quanteda after noticing that nearly everybody involved in an NLP exam was abandoning other packaging due to meeting functional or performance limitations, and adopting quanteda, about which feedbacks were only positive.
Personally I was impressed by timing quality (and also patience) of replies by package authors to some newbie questions I asked.
I am not yet very familiar with the design but it seems to be based on few clear principles applied as cleanly as possible.

enrico200165 commented Jun 20, 2018

I am senior in IT but junior in NLP, came to quanteda after noticing that nearly everybody involved in an NLP exam was abandoning other packaging due to meeting functional or performance limitations, and adopting quanteda, about which feedbacks were only positive.
Personally I was impressed by timing quality (and also patience) of replies by package authors to some newbie questions I asked.
I am not yet very familiar with the design but it seems to be based on few clear principles applied as cleanly as possible.

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