Unable To Create Dataframe From Output Obtained

I am implementing an emotion analysis using lstm method, I have already trained my model and I am doing my prediction part where I have already done the prediction correctly. Now i

Solution 1:

The problem is with this line:

dataframe={'name': [name],'date': [date], 'comment': [comment], 'label':[label_probs]}

Make empty lists for name, date, comment, label_probs and append them to that list and pass that list to your DataFrame

selection1 = new_data['selection1']
names = []
dates = []
comments = []
labels = []

withopen('output1.json', 'w') as f:
    json.dump(new_data, f)

selection1 = new_data['selection1']

for item in selection1:
    name = item['name']
    names.append(name) #<-----------------
.
.
.
    Date= item['reviews']
    for d inDate:
        date= d['date']
        dates.append(date) #<--------------
        print('>>>>>>>>>>>>>>>>>> ', date)

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.
.
.

Then

dataframe={'name': names,'date': dates,........}

Updated answer:

for item in selection1:
        name = item['name']
        Date= item['reviews']
        for d inDate:
            names.append(name) #<-----------------date= d['date']
            dates.append(date) #<--------------
.
.
.

This should solve your problem.