Subscribe
Sign in
Textalytic — Free point & click text analysis in the browser
No more writing complex Python/R code or mastering various packages to get high-quality information from text.
Some features include POS Tagging, Named Entities, Sentiment Analysis, and over 20+ natural language features. Custom pipelines coming soon.
19
Replies
Nico Caramella
@jeffrey_flynt is the tool closed? I couldn't sign up. Just wrote you an email. Thanks!
Share
you mentioned that you provide and API, which I believe is the most interesting part of it. how to get access and what's the pricing?
@robert_eiter Hello Robert, The price would be $199 per month. This allows:
- Access to API & Web Application
- 3M Word Limit for Web Portal
- Team Account
- Social Media Streams
With social media streams, you can grant Textalytic access to your feeds and it will actively monitor for which language feature options you choose. When you create an account, you have the ability to upgrade in your account settings. I am finalizing the documentation for the API, once this is complete, I will update the homepage and send an e-mail to users.
Thanks,
Jeff
I'm getting red 500 error message after uploading a PDF - the text is extracted fine but when I click Submit I get the 500 error.
Bulk upload of 4 small PDF files results in Internal Server Error.
Currently trying to analyse the Wizard of Oz but when I click submit I get the error 'Please select at least one corpus' - even though wizard of oz is selected.
Probably user error, but would love to try this tool!
@phil_gooch Hi Phil, if you can e-mail me at: support@textalytic.com I can assist you with this.
Overall a great solution for me, as I do not know how to code! Since I have gotten used to running some searches, I just wish there were more granular options.
Pros:Used Textalytic for close to a week now. Love the simpleness of creating topic models and custom frequency lists.
Cons:More granular features would be nice.
Thanks for the review! More granular options will be a new feature I plan to add relatively soon.
I needed to grab entities from text and could not get past trying to learn Scikit Learn or StandordNLP. Textalytic was super simple to get setup. Hopefully they allow custom models sometime in the future.
Pros:Named Entities & Topic Modeling!
Cons:None so far.
Thanks for the feedback! Custom pipelines are in the works set to be released this summer.
Hello All,
I created Textalytic to get others exposed to Text Analysis with no prior programming experience with the goal of making these tools accessible to a wider audience.
Textalytic offers a wide range of natural language processing such as Named Entities, POS Tagging, Word Clouds, Topic Modeling, Sentiment Analysis, and other non-common features such as relative clauses, subordinate clauses, etc. The corpus builder allows one to interactively pre-process all of their text in the browser without running various scripts.
All of the language features are free. We also offer API access and more granular features for a monthly fee. If you have any questions, please let me know.
Thanks!
Jeff
@vladkorobov Yes. The current setup is for users to import documents (pdf/txt) from the cloud or computer and then run an analysis over them. If a user wants to extract named entities, they can select this feature and view the results onscreen and export in csv format. Same for dates, time, and various language features.
A user can also perform sentiment analysis & topic modeling over these documents. This kind of workflow is geared toward data scientists, digital humanists, etc.
I am in the process of finalizing the custom pipelines so developers or organizations can setup custom language features and expose via API or in the browser. The use cases for these will be uploading a document and generate a timeline of events from entities. Example: Tuesday, July 3, 2018 - Jeff responded to Vlad. This timeline would be in a chronological order.
Another use case would be selecting language features to monitor social media. Instead of just having to choose from Sentiment Analysis, one could select stylometric features such as user mentioned our company and used this type of grammar (appositional modifier or a copula). More so giving the user fine-grained options to select from.
I hope that helps. I am more than happy to expand if need be. Thanks
@ryanmersand Yes, I upgraded your account. Let me know if you have any issues. Thanks