Nowadays, people pay more and more emotional to the emotional analysis of specific goals. Due to the long training time of many networks, this paper proposes a neural network with specific Objective sentiment analysis. Compared with the current neural network, the algorithm proposed in this paper has a shorter training time, which can effectively make up for the lack of emotional mechanism. Finally, we use the emotional data set to carry out simulation experiments. The experimental results show that the proposed algorithm is better than the ordinary neural network algorithm.

中文翻译：

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基于BP神经网络的网络论坛情感分析研究。

如今，人们对特定目标的情感分析付出了越来越多的情感。由于许多网络的训练时间长，本文提出了一种具有特定客观情感分析的神经网络。与目前的神经网络相比，本文提出的算法训练时间短，可以有效地弥补情绪机制的不足。最后，我们使用情感数据集进行模拟实验。实验结果表明，该算法优于普通的神经网络算法。