Natural Language Processing
NLP, is a subset of artificial intelligence to interact between computers and humans using natural language. NLP features include reading and understanding human language in a productive manner.
Features
- Tokenization. Segmenting running text into sentences and words
- Stop Words Removal. Includes getting rid of common language articles, pronouns and prepositions such as “and”, “the” or “to”.
- Stemming. Refers to the process of slicing the end or the beginning of words with the intention of removing affixes.
- Lemmatization. Has the objective of reducing a word to its base form and grouping together different forms of the same words.
- Topic Modeling. Is as a method for uncovering hidden structures in sets of texts or documents.
- Sentiment Detection. Interpretation and classification of emotions (positive, negative or neutral) within text data.
Context (Story) Question and Answering.
Machine Learning
Solve problems and predict results based on past data history.
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Document Intelligence
Extracts Names, Addresses, Dates and other meaningful data from documents.
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Bot Voice and Text Intelligence
Alexa and Google Home Interactions
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