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classify sentences based on the sentiment they express, emphasizing on long sentences

Jupyter Notebook 100.00%
doc2vec word2vec tf-idf nlp tokenization stemming

nlp-long-sentence-analysis's Introduction

NLP-Long-sequence-analysis-

classify sentences based on the sentiment they express, emphasizing on long sentences

Step 1: Start the Jupyter lab using the command

	jupyter lab --no-browser --port=8081

Step 2: Import the P1_Sentimental_Analysis.ipynb workbook. Make sure the P1_training.xlsx and P1_testing.xlsx are in the same directory as the workbook.

Step 3: Make sure all the necessary Libraries are installed on the python environment. Following are the list of libraries - numpy, pandas, xlrd, nltk, re, gensim, sklearn.

Step 4: Run the individual cells and verify the output for the Base line models - Word2vec and TF-IDF.

Step 5: Run the individual cells and verify the output for the Proposed Solution model - Doc2Vec.

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