Abstract

The article crawls the audience comments from some videos on the YouTube platform of "Talk Show Conference Season 3", extracts relevant content about popular champions Wang Mian and Wang Jianguo for sentiment analysis, uses Google Data API to design a crawler to obtain comment content, and to crawl After the received content is preprocessed, Word2vec is used to build a word vector model, and finally an LSTM model is built for training prediction. It can be seen that the popularity of the player Wang Mian is higher than that of Wang Jianguo. The entertainment company where the two are located can adjust the artist's work according to the changes in the public's love for the players.

Highlights

  • With the advent of the big data era, using artificial intelligence to crawl comments on social media for sentiment analysis has become one of the hot issues in the field of natural language processing

  • Large-scale sentiment analysis calculations on the content posted by netizens can help the government use public opinion data to adjust or deploy work

  • Long Short-term memory neural network (LSTM) is one of the common recurrent neural networks (RNN), which solves the problems of gradient disappearance and gradient explosion in ordinary Recurrent Neural Network (RNN), and is widely used in speech recognition, language modeling, sentiment analysis and text Forecast and other fields

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Summary

Introduction

With the advent of the big data era, using artificial intelligence to crawl comments on social media for sentiment analysis has become one of the hot issues in the field of natural language processing. This article uses the comments under the YouTube platform "Talk Show Season 3" video for sentiment analysis. With the continuous development of talk show, Li Dan established Xiaoguo Culture Co., Ltd. Under the continuous development of media and industry, talk show actors began to undertake a large number of advertisements, which successively drove market consumption, and talk show culture gradually entered the vision of Chinese audiences. The broadcast of "Talk Show Conference Season 3" caused a enthusiastic response from the audience. Once "Talk Show Conference Season 3" was launched, it caused a huge response from netizens. Netizens continue to discuss the two outstanding players Wang Mian and Wang Jianguo

Current Status of Related Research
Long Short-term Memory Neural Network LSTM
Pretreatment
Text Word Vector Representation
Building an LSTM Model
Result Analysis
Conclusion

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