Prepare JSON data from sentiment analysis to perform Logistic Regression
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I'm working on a text analysis project using Google's NLP API along with some other APIS. After performing the sentiment analysis I have its results in JSON format and now I need to apply the Logistic regression, I have no idea how can I prepare my JSON data to perform Logistic regress.
Here's a sample of my data:
{
'documentSentiment':{
'polarity':-0.3,
'magnitude':0,
'score':0
},
'language':'en',
'sentences':[
{
'text':{
'content':'{\rtf1\ansi\ansicpg1252\cocoartf1639\cocoasubrtf100n{\fonttbl\f0\fswiss\fcharset0 Helvetica;}n{\colortbl;\red255\green255\blue255;}n{\*\expandedcolortbl;;}n\paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0n\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0',
'beginOffset':-1
},
'sentiment':{
'polarity':-1,
'magnitude':0,
'score':0
}
},
{
'text':{
'content':'\f0\fs24 \cf0 This is the first text file.}',
'beginOffset':-1
},
'sentiment':{
'polarity':1,
'magnitude':0,
'score':0
}
}
]
}
How can I prepare this data to perform Logistic Regression?
I will use Pandas
, Numpy
and Sckikit-learn
.
python json machine-learning scikit-learn logistic-regression
add a comment |
up vote
-2
down vote
favorite
I'm working on a text analysis project using Google's NLP API along with some other APIS. After performing the sentiment analysis I have its results in JSON format and now I need to apply the Logistic regression, I have no idea how can I prepare my JSON data to perform Logistic regress.
Here's a sample of my data:
{
'documentSentiment':{
'polarity':-0.3,
'magnitude':0,
'score':0
},
'language':'en',
'sentences':[
{
'text':{
'content':'{\rtf1\ansi\ansicpg1252\cocoartf1639\cocoasubrtf100n{\fonttbl\f0\fswiss\fcharset0 Helvetica;}n{\colortbl;\red255\green255\blue255;}n{\*\expandedcolortbl;;}n\paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0n\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0',
'beginOffset':-1
},
'sentiment':{
'polarity':-1,
'magnitude':0,
'score':0
}
},
{
'text':{
'content':'\f0\fs24 \cf0 This is the first text file.}',
'beginOffset':-1
},
'sentiment':{
'polarity':1,
'magnitude':0,
'score':0
}
}
]
}
How can I prepare this data to perform Logistic Regression?
I will use Pandas
, Numpy
and Sckikit-learn
.
python json machine-learning scikit-learn logistic-regression
why you choose Logistic Regression? not neural networks like LSTM
– chaos
Nov 22 at 10:12
Hi @chaos, I have no idea about it.
– Abdul Rehman
Nov 22 at 10:14
add a comment |
up vote
-2
down vote
favorite
up vote
-2
down vote
favorite
I'm working on a text analysis project using Google's NLP API along with some other APIS. After performing the sentiment analysis I have its results in JSON format and now I need to apply the Logistic regression, I have no idea how can I prepare my JSON data to perform Logistic regress.
Here's a sample of my data:
{
'documentSentiment':{
'polarity':-0.3,
'magnitude':0,
'score':0
},
'language':'en',
'sentences':[
{
'text':{
'content':'{\rtf1\ansi\ansicpg1252\cocoartf1639\cocoasubrtf100n{\fonttbl\f0\fswiss\fcharset0 Helvetica;}n{\colortbl;\red255\green255\blue255;}n{\*\expandedcolortbl;;}n\paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0n\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0',
'beginOffset':-1
},
'sentiment':{
'polarity':-1,
'magnitude':0,
'score':0
}
},
{
'text':{
'content':'\f0\fs24 \cf0 This is the first text file.}',
'beginOffset':-1
},
'sentiment':{
'polarity':1,
'magnitude':0,
'score':0
}
}
]
}
How can I prepare this data to perform Logistic Regression?
I will use Pandas
, Numpy
and Sckikit-learn
.
python json machine-learning scikit-learn logistic-regression
I'm working on a text analysis project using Google's NLP API along with some other APIS. After performing the sentiment analysis I have its results in JSON format and now I need to apply the Logistic regression, I have no idea how can I prepare my JSON data to perform Logistic regress.
Here's a sample of my data:
{
'documentSentiment':{
'polarity':-0.3,
'magnitude':0,
'score':0
},
'language':'en',
'sentences':[
{
'text':{
'content':'{\rtf1\ansi\ansicpg1252\cocoartf1639\cocoasubrtf100n{\fonttbl\f0\fswiss\fcharset0 Helvetica;}n{\colortbl;\red255\green255\blue255;}n{\*\expandedcolortbl;;}n\paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0n\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0',
'beginOffset':-1
},
'sentiment':{
'polarity':-1,
'magnitude':0,
'score':0
}
},
{
'text':{
'content':'\f0\fs24 \cf0 This is the first text file.}',
'beginOffset':-1
},
'sentiment':{
'polarity':1,
'magnitude':0,
'score':0
}
}
]
}
How can I prepare this data to perform Logistic Regression?
I will use Pandas
, Numpy
and Sckikit-learn
.
python json machine-learning scikit-learn logistic-regression
python json machine-learning scikit-learn logistic-regression
edited Nov 22 at 10:12
Mike
1,8151421
1,8151421
asked Nov 22 at 9:59
Abdul Rehman
920322
920322
why you choose Logistic Regression? not neural networks like LSTM
– chaos
Nov 22 at 10:12
Hi @chaos, I have no idea about it.
– Abdul Rehman
Nov 22 at 10:14
add a comment |
why you choose Logistic Regression? not neural networks like LSTM
– chaos
Nov 22 at 10:12
Hi @chaos, I have no idea about it.
– Abdul Rehman
Nov 22 at 10:14
why you choose Logistic Regression? not neural networks like LSTM
– chaos
Nov 22 at 10:12
why you choose Logistic Regression? not neural networks like LSTM
– chaos
Nov 22 at 10:12
Hi @chaos, I have no idea about it.
– Abdul Rehman
Nov 22 at 10:14
Hi @chaos, I have no idea about it.
– Abdul Rehman
Nov 22 at 10:14
add a comment |
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why you choose Logistic Regression? not neural networks like LSTM
– chaos
Nov 22 at 10:12
Hi @chaos, I have no idea about it.
– Abdul Rehman
Nov 22 at 10:14