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A model trained with Keras and built using NLP Techniques to predict any sentiment in context with affirmation and negation.

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NLP_SentimentReviewer

A model trained with Keras and built using NLP Techniques to predict any sentiment in context with affirmation and negation.

Dataset is taken from different sources and combined into a single folder: 'txt_sentoken'

IMDB Movie Reviews Dataset

Refer Kaggle: https://www.kaggle.com/iarunava/imdb-movie-reviews-dataset

SemEval-2015 ABSA Restaurant Reviews - Train Data

Refer: http://metashare.ilsp.gr:8080/repository/browse/semeval-2015-absa-restaurant-reviews-train-data/b2ac9c0c198511e4a109842b2b6a04d751e6725f2ab847df88b19ea22cb5cc4a/

For accessing and loading different text dataset formats:

References:

https://medium.com/@annabiancajones/sentiment-analysis-of-reviews-text-pre-processing-6359343784fb https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/ https://www.analyticsvidhya.com/blog/2018/07/hands-on-sentiment-analysis-dataset-python/

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A model trained with Keras and built using NLP Techniques to predict any sentiment in context with affirmation and negation.

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