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KeyError: 'irrelevant' In dictionary while sentiment analysis using Naive and SVM

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0

I am doing Sentiment analysis using Naive bays and SVM,
i refered this code https://github.com/sravyaysk/MyProjects/blob/master/SentimentAnalysis.py

I converted this implementation in python 3, Here is code to implement it assigns positive as 1 and negative as 2, I added neutral as 3 but it still return's error as irrelevant

My code's and dataset
https://drive.google.com/drive/folders/1NiZC7DNOkzpUFZ1X6PjD2rrn99TGXnkL?usp=sharing

this is the part of code where I am getting error: SVM.py

labels_to_array="positive":1,"negative":2
labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
y=np.array(labels)

ERROR:

KeyError Traceback (most recent call last)
 <ipython-input-11-d1d8945f9453> in <module>
 161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
 162 labels_to_array="neutral":1,"negative":2,"positive":3
 --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
 164 y=np.array(labels)
 165 

 <ipython-input-11-d1d8945f9453> in <listcomp>(.0)
 161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
 162 labels_to_array="neutral":1,"negative":2,"positive":3
 --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
 164 y=np.array(labels)
 165
 KeyError: 'neutral'

python-3.x nltk sentiment-analysis naivebayes

share|improve this question

edited Mar 23 at 8:08

Ashutosh Eve

asked Mar 23 at 7:15

Ashutosh EveAshutosh Eve

367

• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  Hi, you need to post the relevant code you wrote and the full error message in the question. Don't ask people to click on external links and to read long code.
  
  – AlexK
  Mar 23 at 7:37
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Do you have "neutral" in the labels_to_array dictionary or not? In the code you posted you don't have it, but in the error message you do. KeyError means that Python can't find that key.
  
  – AlexK
  Mar 23 at 19:09
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @AlexK yes in the dictionary i have added this label , when I remove "neutral" label it returns keyerror : neutral and if i add back into dictionary it returns key error:"irrelevant"
  
  – Ashutosh Eve
  Mar 24 at 10:00
  
  

  
  
  
  


• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  So then you need to add "irrelevant" to that labels_to_array dictionary, because Python is complaining that it can't find that key.
  
  – AlexK
  Mar 24 at 19:38
  

  
  
  
  

add a comment | 

0

I am doing Sentiment analysis using Naive bays and SVM,
i refered this code https://github.com/sravyaysk/MyProjects/blob/master/SentimentAnalysis.py

I converted this implementation in python 3, Here is code to implement it assigns positive as 1 and negative as 2, I added neutral as 3 but it still return's error as irrelevant

My code's and dataset
https://drive.google.com/drive/folders/1NiZC7DNOkzpUFZ1X6PjD2rrn99TGXnkL?usp=sharing

this is the part of code where I am getting error: SVM.py

labels_to_array="positive":1,"negative":2
labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
y=np.array(labels)

ERROR:

KeyError Traceback (most recent call last)
 <ipython-input-11-d1d8945f9453> in <module>
 161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
 162 labels_to_array="neutral":1,"negative":2,"positive":3
 --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
 164 y=np.array(labels)
 165 

 <ipython-input-11-d1d8945f9453> in <listcomp>(.0)
 161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
 162 labels_to_array="neutral":1,"negative":2,"positive":3
 --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
 164 y=np.array(labels)
 165
 KeyError: 'neutral'

python-3.x nltk sentiment-analysis naivebayes

share|improve this question

edited Mar 23 at 8:08

Ashutosh Eve

asked Mar 23 at 7:15

Ashutosh EveAshutosh Eve

367

• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  Hi, you need to post the relevant code you wrote and the full error message in the question. Don't ask people to click on external links and to read long code.
  
  – AlexK
  Mar 23 at 7:37
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Do you have "neutral" in the labels_to_array dictionary or not? In the code you posted you don't have it, but in the error message you do. KeyError means that Python can't find that key.
  
  – AlexK
  Mar 23 at 19:09
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  @AlexK yes in the dictionary i have added this label , when I remove "neutral" label it returns keyerror : neutral and if i add back into dictionary it returns key error:"irrelevant"
  
  – Ashutosh Eve
  Mar 24 at 10:00
  
  

  
  
  
  


• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  So then you need to add "irrelevant" to that labels_to_array dictionary, because Python is complaining that it can't find that key.
  
  – AlexK
  Mar 24 at 19:38
  

  
  
  
  

add a comment | 

I am doing Sentiment analysis using Naive bays and SVM,
i refered this code https://github.com/sravyaysk/MyProjects/blob/master/SentimentAnalysis.py

I converted this implementation in python 3, Here is code to implement it assigns positive as 1 and negative as 2, I added neutral as 3 but it still return's error as irrelevant

My code's and dataset
https://drive.google.com/drive/folders/1NiZC7DNOkzpUFZ1X6PjD2rrn99TGXnkL?usp=sharing

this is the part of code where I am getting error: SVM.py

labels_to_array="positive":1,"negative":2
labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
y=np.array(labels)

ERROR:

KeyError Traceback (most recent call last)
 <ipython-input-11-d1d8945f9453> in <module>
 161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
 162 labels_to_array="neutral":1,"negative":2,"positive":3
 --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
 164 y=np.array(labels)
 165 

 <ipython-input-11-d1d8945f9453> in <listcomp>(.0)
 161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
 162 labels_to_array="neutral":1,"negative":2,"positive":3
 --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
 164 y=np.array(labels)
 165
 KeyError: 'neutral'

python-3.x nltk sentiment-analysis naivebayes

share|improve this question

edited Mar 23 at 8:08

Ashutosh Eve

asked Mar 23 at 7:15

Ashutosh EveAshutosh Eve

367

labels_to_array="positive":1,"negative":2
labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
y=np.array(labels)

KeyError Traceback (most recent call last)
 <ipython-input-11-d1d8945f9453> in <module>
 161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
 162 labels_to_array="neutral":1,"negative":2,"positive":3
 --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
 164 y=np.array(labels)
 165 

 <ipython-input-11-d1d8945f9453> in <listcomp>(.0)
 161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
 162 labels_to_array="neutral":1,"negative":2,"positive":3
 --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
 164 y=np.array(labels)
 165
 KeyError: 'neutral'

share|improve this question

edited Mar 23 at 8:08

Ashutosh Eve

asked Mar 23 at 7:15

Ashutosh EveAshutosh Eve

367

share|improve this question

edited Mar 23 at 8:08

Ashutosh Eve

asked Mar 23 at 7:15

Ashutosh EveAshutosh Eve

367

asked Mar 23 at 7:15

Ashutosh EveAshutosh Eve

367

asked Mar 23 at 7:15

Ashutosh EveAshutosh Eve

367