Sentiment-analysis solutions
Our sentiment analysis solutions provide accurate results which traditional sentiment solutions cannot provide. This is because our human in the loop approach allows you to tailor every step of the process. Our solutions go beyond the simple sentiment analysis and also provide you the intent behind the sentiment.
Text Categorization
This can help you to categorize any type of data. Whether you are looking to simplify a complex article or detect spam in the emails, our platform can simply do the work for you.
Extract data from PDF
Our platform improves human intelligence to build optical character recognition models. You can extract the data of interest for the PDFs and annotate those areas for the future extraction or validating the existing data.
Extract information
Sometimes you need to understand the subject, context or the topic of a text. Our information extraction platform is a great way to do that. We can classify the sections of the documents and highlight the important points or identify the section of texts that are important for you.
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Tools and Technologies We Use for Offering AI Services
We use top-of-the-line tools, cutting-edge technologies, and modern approaches to expand and grow your business.
Programming Language
Python | Java | R | Scala | SQL | C++ | 3TypeScript | C # | Swift | Bash | Go | Vue.js | React Js | Angular Js | Express Js | React Native | Node Js |
Frameworks
Tensorflow | Scikit-learn | SciPy | Flask | Django | RASA | NumPy | NLTK | Spacy | Bot Press | Voice Flow | PySpark | DeepStream | OpenVino | PyTourch | MMNet | Keras | Pandas
Modules/ToolKits
Kurento | Microsoft Cognitive Toolkit | Core ML
Libraries
TensorFlow | OpenNN | Sonnet TF-Slim | Tensor2Tensor | Neuroph
Image Classification Models
VGG-16 | ResNet50 | Inceptionv3 | EfficientNet
Data Engineering
Azure | Amazon Web Services | Google Cloud | SPSS | MongoDB | | PostgreSQL | Databricks SQL | Amazon SageMaker |
Generative AI Models
Generative Adversarial Networks | Transformer models (GPT3, GPT 3.5 Turbo, LaMDA, Wu-Dao)
Algorithms
Supervised/Unsupervised Learning | Clustering | Metric Learning | Fewshot Learning
Neural Networks
Convolutional Neural Networks (CNN) | Recurrent Neural Networks (RNN) | long Short-Term Memory Networks (LSTMN) | Autoencoders (VAE, DAE SAE, etc.) | Generative adversarial networks (GANs) | Deep Q-Network (DQN) | Modular neural network
