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aspect-based-sentiment-analysis's Introduction

Aspect-Based-Sentiment-Analysis

Aspect Based Sentiment Analysis task focuses on the recognition of aspect category and classification of emotions (positive, negative, neutral) in text. The aim of Aspect Based Sentiment Analysis is to determine the sentiment polarity expressed towards certain aspect. This system is based on supervised learning using Support Vector Machine (SVM). Multi label svc classifier is used to classify the laptop reviews into 20 aspect categories and also to classify the review as positive, negative or neutral. For each sentiment, a multi label svc classifier is used. Performance of the system is also compared with other classifiers.

Dataset

Dataset is avaibale at SemEval website.

Required libraries

  • Scikit Learn
  • Nltk
  • pandas
  • numpy

P.S. This is a Mini-Project for a 2 month crash course (NLP) in the Final Year at the Department of Computer Science and Engineering, Kathmandu University.

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aspect-based-sentiment-analysis's Issues

Aspect Based Sentiment

Can I get another help?

How did you store training and testing data in xml format?
Whether do you used your dataset?
How do you represent sentiment and aspect categories in your xml file?

FileNotFoundError: [Errno 2] No such file or directory: 'tagged_text_list_train.pkl'

Hello,

when i run the following code in Aspect Based Sentiment Analysis.ipynb
error

i get this error:

Traceback (most recent call last):

File "", line 1, in
tagged_text_list_train=joblib.load('tagged_text_list_train.pkl')

File "C:\ProgramData\Anaconda3\lib\site-packages\sklearn\externals\joblib\numpy_pickle.py", line 570, in load
with open(filename, 'rb') as f:

FileNotFoundError: [Errno 2] No such file or directory: 'tagged_text_list_train.pkl'

Any help please
Thanks

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