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Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
Mathematica – provides built in tools for text alignment, pattern matching, clustering and semantic analysis. See Wolfram Language, the programming language of Mathematica. MATLAB offers Text Analytics Toolbox for importing text data, converting it to numeric form for use in machine and deep learning, sentiment analysis and classification ...
The use of multi-sense embeddings is known to improve performance in several NLP tasks, such as part-of-speech tagging, semantic relation identification, semantic relatedness, named entity recognition and sentiment analysis. [38] [39] As of the late 2010s, contextually-meaningful embeddings such as ELMo and BERT have been developed. [40]
Examples of these insights include sentiment analysis, topic modelling, and trend analysis. Question Answering Systems: Found in systems such as IBM Watson, these systems assist in comprehending and analyzing natural language queries in order to deliver precise responses. They are particularly helpful in areas such as customer service and ...
Tatoeba – free collaborative online database of example sentences geared towards foreign-language learners. Teragram Corporation – fully owned subsidiary of SAS Institute, a major producer of statistical analysis software, headquartered in Cary, North Carolina, USA. Teragram is based in Cambridge, Massachusetts and specializes in the ...
Lexalytics, Inc. provides sentiment and intent analysis to an array of companies using SaaS and cloud based technology. [1] [2] Salience 6, the engine behind Lexalytics, was built as an on-premises, multi-lingual text analysis engine. It is leased to other companies who use it to power filtering and reputation management programs.
Semantic analysis (computational) Semantic analytics; Semantic compression; Semantic decomposition (natural language processing) Semantic folding; Semantic interpretation; Semantic neural network; Semantic space; SemEval; Sentence embedding; Sentence extraction; Sentiment analysis; Seq2seq; Sketch Engine; Sparrow (chatbot) Speech segmentation ...