Aspect-Based-Sentiment-Analysis

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Getting error from professor file!

1

I run this sample: import aspect_based_sentiment_analysis as absa name = 'absa/classifier-rest-0.2' model = absa.BertABSClassifier.from_pretrained(name) tokenizer = BertTokenizer.from_pretrained(name) professor = absa.Professor(...) # Explained in detail later on. text_splitter = absa.sentencizer() #...

Seyedhosseinzadeh

Getting Error while calling BERTClassifier

4

import transformers import aspect_based_sentiment_analysis as absa name = 'absa/classifier-rest-0.2' model = absa.BertABSClassifier.from_pretrained(name) tokenizer = absa.BertTokenizer.from_pretrained(name) --------------------------------------------------------------------------- ValueError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_40004/473772509.py in 5 6 name = 'absa/classifier-rest-0.2' ---->...

Gaurav7004

ValueError: The first argument to `Layer.call` must always be passed.

7

I install your module and run quick start ``` import aspect_based_sentiment_analysis as absa recognizer = absa.aux_models.BasicPatternRecognizer() nlp = absa.load(pattern_recognizer=recognizer) ``` and the following error occurred. --------------------------------------------------------------------------- ``` ValueError Traceback (most...

fspanda

recognizer = absa.aux_models.BasicPatternRecognizer() nlp = absa.load(pattern_recognizer=recognizer) completed_task = nlp(text=..., aspects=['slack', 'price']) slack, price = completed_task.examples TypeError Traceback (most recent call last) [](https://localhost:8080/#) in () 1 recognizer = absa.aux_models.BasicPatternRecognizer() 2 nlp...

letmeseeletmesee

Training custom model

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I want to use this package for the mobile phone's ABSA, Can anyone tell me how to train the model and use the trained model in the nlp.load() method. Actually,...

chetanniradwar

How to fine tune this model

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Hello, I am wondering - is it possible to fine-tune this model for some domain/specific words? I have training data, but I am not sure how exactly to fine tune...

pepi99

Fine-tuning the model to add specific words and phrases with polarity

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I need to have the polarity associated with particular words or phrases used to ensure that these are taken into account when associated with a particular aspect. Is there a...

rspiewak47

AttributeError with Tokenizer

3

I'm trying to reproduce the example in the README. ```python name = 'absa/classifier-rest-0.2' model = absa.BertABSClassifier.from_pretrained(name) tokenizer = absa.BertTokenizer.from_pretrained(name) professor = absa.Professor() # Explained in detail later on. text_splitter =...

adriguerra

# Main contribution The Python version was previously pinned to `3.7`. This PR unfixes the Python version to allow compatibility with later versions of Python as well. This PR is...

xesaad

Type mismatch error during operation on `scores` array

1

## TL;DR When defining a pipeline's elements and testing it on a couple of sentences, the tests results are inconsistent. Some go smoothly, while some encounter the following **type error**:...

brieucdandin