Skip to content
Sentiment analysis is defined as determining the neutrality, positivity or negativity of a given text based on given aspect term. We are to analyze a dataset, containing both, an aspect term information and the text. Our solution involves understanding various approaches to tackle the task, analyzes the text/sentences and finally builds a classi…
Python
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
Data-1_test.csv
Data-2_test.csv
Dhananjay_Gupta_Karan_Kadakia_Data-1.txt
Dhananjay_Gupta_Karan_Kadakia_Data-2.txt
Project_Report.doc
Project_Report.pdf
README.md
README.txt
data-1_train.csv
data-2_train.csv
neg_words.txt
pos_words.txt
sentiment.py

README.md

Aspect-Based-Sentiment-Analysis

Please find the readme file to learn the prject setup and project report for further details.

Sentiment analysis is defined as determining the neutrality, positivity or negativity of a given text based on given aspect term. We are to analyze a dataset, containing both, an aspect term information and the text. Our solution involves understanding various approaches to tackle the task, analyzes the text/sentences and finally builds a classifier capable of determining the sentiment of the provided text/sentence. We examine various text cleaning techniques, machine learning models and discuss their respective merits.

You can’t perform that action at this time.