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:mortar_board:RESEARCH:smirk_cat: [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter. :thumbsup:


:mortar_board:RESEARCH:angel: [NLP :speech_balloon:] This is an implementation of "Automatic Consensus-Based Text Summarizer" along with text-organizing capabilities that can generate genre-specific, generic or user-configured summaries of a large amount of unorganized text. We are currently using a number of independent text-mining algorithms based on different statistical models to compute the summaries and combining them using configurable consensus techniques.:exclamation::boom:


Qt binding for Go (Golang) which supports Windows / macOS / Linux / Android / iOS / Sailfish OS / Raspberry Pi

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