Fasttext 如何将 .csv 列加载到 model.predict

Question

我是 python 和 NLP 的新手。

我已按照本教程 (https://fasttext.cc/docs/en/supervised-tutorial.html) 在 Python 中训练我的 fasttxt 监督模型。

我有一个带有文本列的 csv，我想从文件中预测标签到曾经的行。 我的问题是如何加载（转换）预测输入中的 csv 列并保存标签。

model.predict("Which baking dish is best to bake a banana bread ?", k=-1, threshold=0.5)

而不是这个（““Which bake....”中的文本）我想逐行加载并最好将标签保存在同一csv的新列中。

我会提供任何帮助，或者我可以遵循的教程。

到目前为止，我已经尝试使用 pandas 和 numpy 数组将列转换为列表，但都返回“AttributeError：'function' object has no attribute 'find'”

Answer 1

以这个 CSV 为例：

index;id;text;author 0;id26305;This process, however, afforded me no means of...;EAP 1;id17569;It never once occurred to me that the fumbling...;HPL 2;id11008;In his left hand was a gold snuff box, from wh...;EAP 3;id27763;How lovely is spring As we looked from Windsor...;MWS 4;id12958;Finding nothing else, not even gold, the Super...;HPL 5;id22965;A youth passed in solitude, my best years spen...;MWS 6;id09674;The astronomer, perhaps, at this point, took r...;EAP 7;id13515;The surcingle hung in ribands from my body. ;EAP 8;id19322;I knew that you could not say to yourself 'ste...;EAP 9;id00912;I confess that neither the structure of langua...;MWS

您可以使用以下代码：

import pandas as pd
import fastText as ft

# here you load the csv into pandas dataframe
df=pd.read_csv('csv_file.csv',sep=';')

# here you load your fasttext module
model=ft.load_model(MODELPATH)

# line by line, you make the predictions and store them in a list
predictions=[]
for line in df['text']:
    pred_label=model.predict(line, k=-1, threshold=0.5)[0][0]
    predictions.append(pred_label)

# you add the list to the dataframe, then save the datframe to new csv
df['prediction']=predictions
df.to_csv('csv_file_w_pred.csv',sep=';',index=False)