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Text Classification API

twinword inc. | 1

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External reviews

7 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Vikash C.

Best Deep Learning Model for Text Classification

  • August 03, 2022
  • Review provided by G2

What do you like best?
This model architecture comes with a great deep learning model itself for text classification. It annotates texts very accurately whether it is a sentence, queries, paragraphs or docs.
What do you dislike?
Since various deep learning models give more or less the same results, hence accuracy is based on training the model which requires more and more data therefore deploying more and more data can be a bit time-consuming.
What problems is the product solving and how is that benefiting you?
It is best at deep sentiment analysis and labeling the textual units. It is efficient in entity extraction viz banking, insurance, retail, legal and eCommerce.


    Retail

One of the Best Solution in this Category.

  • July 22, 2022
  • Review provided by G2

What do you like best?
The solution is easy to implement with the existing projects. The accuracy of the output is impressive as it adapts to the architecture of the existing project, very well and produces desired results after the successful integration.
What do you dislike?
Its not like that I disliked but I felt that predictive analysis feature of this solution, takes a little time to settle down. But once it's in place after some time, it works flawlessly.
What problems is the product solving and how is that benefiting you?
This solution is helping to extract the desired set of text classification. It also helps in text processing development with good TAT. The best part is the analytical integration with the existing projects.


    Retail

Simple Tool for Text Processing/Analysis.

  • July 22, 2022
  • Review provided by G2

What do you like best?
What I liked is that Text Classifier with auto Deep Learning adapts to the existing text processing development platform, very easily and with great accuracy. It takes some time to adjust and then it produces results to it's full potential.
What do you dislike?
The availability is for a handful of sectors/industries. This tool should be available for more sectors/industries.

Secondly, I felt that the administrator should be very sound in coding to implement the project.
What problems is the product solving and how is that benefiting you?
The Text Classifier with auto Deep Learning helped us to implement the text processing development platform with the great accuracy and it's easy to generate analytics.


    Yogesh K.

Excellent solution for Text classifier

  • June 30, 2022
  • Review provided by G2

What do you like best?
This solution automatically identifies and trains the best performing deep learning model for text classification. It saves a lot of time and its a fantastic solution
What do you dislike?
People with no coding background have difficulty in understanding and implementing this
What problems is the product solving and how is that benefiting you?
The solution automatically identifies and trains the best performing deep learning model for text classification. We have used this to solve various problem statements.


    Sreedhar S.

Text Classifier with auto Deep Learning

  • March 23, 2022
  • Review provided by G2

What do you like best?
Using auto Deep Learning for Text Classification is complimentary to our application in terms of:
1. Accuracy
2. we can label data, which is useful to train upstream systems.
3. detecting spam or any other type of text-based on the customization of filters.
3. It supports multiple languages as well, based on the data we are feeding.
What do you dislike?
1. the amount of data that is required to feed into the system is very huge.
2. as it uses deep learning, it is a bit more complex than Machine Learning algorithms.
What problems is the product solving and how is that benefiting you?
1. Data Labeling.
2. It can found out if any mail is spam or not.
3. based on customization filters or regular expressions we can found out patterns in the data, which is very helpful.


    Nagendhar Reddy V.

best deep learning model architecture for the text classification data set

  • January 05, 2022
  • Review provided by G2

What do you like best?
improve the turn-around time for any text processing development as well as save time of a data scientist.
Cloud solution is ideal
What do you dislike?
Only limited to domains like banking , insurance , retail , legal and ecommerce.
What problems is the product solving and how is that benefiting you?
entity extraction


    Computer Software

Review of text classifier dl

  • September 03, 2021
  • Review provided by G2

What do you like best?
It has the use case of feature engineering concepts where people can understand to explore more about data insights
What do you dislike?
Nothing, it has all the required attribute classifier
What problems is the product solving and how is that benefiting you?
I predict the grade points of research paper selection in various conferences.I wasable to get grants of technical conference.


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