[TEXTOM Manual] Sentiment Analysis and Document Classification Feature Upgrade (ELECTRA, GPT Models)
✅Sentiment Analysis and Document Classification Feature Upgrade (ELECTRA, GPT Models) TEXTOM's sentiment analysis (document classification) feature has been upgraded! With this upgrade, new models have been integrated, enabling more effective analysis. Here's a brief summary of the key points! * Currently running in beta version. In the previous document classification system, a Bayesian classifier was used. However, many users faced difficulties due to the inconvenience of manually uploading positive and negative training data. To address these challenges and deliver more accurate analysis results, we have introduced a new model to simplify the process and enhance analysis precision. The ELECTRA model is a sentiment analysis model based on deep learning, utilizing lightweight pre-training and fine-tuning techniques to analyze the sentiment of text. After fine-tuning for each language, it predicts the probability of belonging to positive or negative sentiment categories for c