1tangerine1day/Aspect-Term-Extraction-and-Analysis
Aspect Term Extraction and Aspect-based Sentiment Analysis on SemEval-2014 task4
This tool helps businesses and researchers understand public opinion by automatically identifying specific aspects of products or services mentioned in text, and then determining the sentiment towards each aspect. For example, it can find mentions of 'battery life' or 'price' in customer reviews and tell you if people feel positively or negatively about those particular features. It's ideal for market researchers, product managers, and customer feedback analysts.
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Use this if you need to quickly extract key features or attributes from large volumes of unstructured text, like product reviews or social media comments, and understand the specific sentiment associated with each of them.
Not ideal if you only need a general positive/negative sentiment score for an entire document, or if your text data is not focused on specific aspects of entities.
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Dec 29, 2020
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