Date
Polarity detectionIt is usually used in the sentiment polarity classification of natural language texts, mainly to express the classification process.
Currently, there are three main types of sentiment polarity: positive, negative, and neutral. Polarity detection is used to judge articles with subjective descriptions, classify them according to sentiment polarity categories, and give corresponding confidence levels.
Sentiment analysis can help understand user consumption habits, analyze hot topics, and monitor crisis public opinion.
References
【1】https://blog.csdn.net/IOThouzhuo/article/details/50126097
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.
Date
Polarity detectionIt is usually used in the sentiment polarity classification of natural language texts, mainly to express the classification process.
Currently, there are three main types of sentiment polarity: positive, negative, and neutral. Polarity detection is used to judge articles with subjective descriptions, classify them according to sentiment polarity categories, and give corresponding confidence levels.
Sentiment analysis can help understand user consumption habits, analyze hot topics, and monitor crisis public opinion.
References
【1】https://blog.csdn.net/IOThouzhuo/article/details/50126097
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.