Our Highly Experienced Team
of Expert Professionals Power
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Sentiment Analysis
Fullestop provides precise results with sentiment analysis solutions that traditional sentiment solution just can't. We follow a human-in-the-loop approach that tailors every step of the NLP process and goes beyond the simple sentiment analysis to ensure you the intent behind the sentiments.
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Machine Learning Assisted Text Annotation
Our machine learning team powers highly precise named entity recognition tasks via our machine learning assisted text annotation solution. Combined with our dedicated team of experts and robust quality controls, we can classify your proper nouns like places, people, things, and other important entities for your machine learning project. With Fullestop, you just have to create your customized ontology and we can take care of the rest.
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Intent Classification
Fullestop offers out-of-the-box intent classification service that is essential for training and designing chatbots, virtual assistants, and other human-machine interaction software and systems. We use the human-in-the-loop approach to help you to understand the intent behind every conversation properly.
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Utterance Collection
Our free text utterance collection lets you leverage the power of a distributed workforce consisting of fluent annotators to collect text strings based on prompts or specific scenarios to power your conversational agents. We support dozens of languages and employ workflows and extreme quality controls to ensure your text utterances are of the best quality.
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Optical Character Recognition and Transcription
Fullestop also provides the service of building optical character recognition models that improves human intelligence to a great extent. You can extract the data that you are interested in and annotate those areas for any future extraction or for the validation of existing data.
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Information Extraction for NLP
Out exclusive NLP services can highlight key points and can identify the parts of the text that are beneficial for your project. This service is rendered when you need to understand the subject, context, or the topic of a text.
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Relevance Scoring
Conversational agents don't derive the best results in every situation. That is where the relevance scoring technique comes in handy. Combined with our human-in-the-loop approach, you can identify if your search or conversational agent outputs are relevant to the user's request. If not, you can iterate your model to derive the best results for every query.
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Text Categorization
The text categorization service is an agile technique used to classify text into various categories. With the help of machine learning, the task of text categorization has become super fast and easy. Fullestop helps in simplification of a complex article or detection of spam in emails and other services you require concerned with text classification.