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import os
from textblob import TextBlob
import pandas as pd
directory = ' E: \\ 前端 \\ 软件工程 \\ 莎莎和陈梦 \\ 弹幕收集 '
#合并所有文件的文本内容
all_text = " "
for filename in os . listdir ( directory ) :
if filename . endswith ( ' .txt ' ) :
filepath = os . path . join ( directory , filename )
with open ( filepath , ' r ' , encoding = ' utf-8 ' ) as file :
all_text + = file . read ( ) + " \n "
#将合并后的文本保存为一个新的文件
merged_file_path = os . path . join ( directory , ' merged_text.txt ' )
with open ( merged_file_path , ' w ' , encoding = ' utf-8 ' ) as file :
file . write ( all_text )
#定义情感分析函数
def analyze_sentiment ( text ) :
blob = TextBlob ( text )
return blob . sentiment . polarity , blob . sentiment . subjectivity
#对合并的文本进行情感分析
polarity , subjectivity = analyze_sentiment ( all_text )
#打印分析结果
print ( f " 弹幕的情感极性: { polarity } " ) #-1 表示非常负面， ，
print ( f " 弹幕的情感主观性: { subjectivity } " ) #0 表示完全客观，
#保存分析结果到CSV文件
results = {
' Filename ' : [ ' merged_text.txt ' ] ,
' Polarity ' : [ polarity ] ,
' Subjectivity ' : [ subjectivity ]
}
results_df = pd . DataFrame ( results )
results_df . to_csv ( os . path . join ( directory , ' sentiment_analysis_results.csv ' ) , index = False )
