EmnamoR/Arabic-named-entity-recognition
Arabic named entity recognition using AnerCorp corpus (location , organisation, person, Miscellaneous Word)
This tool helps you automatically identify and categorize key entities like locations, organizations, people, and miscellaneous terms within Arabic text. You provide a document or piece of Arabic text, and it highlights and labels these important named entities, saving you the manual effort of reading through and marking them yourself. This is ideal for anyone working with large volumes of Arabic text, such as researchers, analysts, or content managers.
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Use this if you need to quickly extract and categorize specific information (like names of places, companies, or individuals) from Arabic documents without human intervention.
Not ideal if your primary need is for advanced sentiment analysis or complex relationship extraction beyond simple entity identification.
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Last pushed
Jul 28, 2017
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