Master Thesis: Enhancing Sentiment Analysis: Model Comparison, Domain Adaptation, and Lexicon Evolution in German Data
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Updated
Jul 31, 2024 - Python
Master Thesis: Enhancing Sentiment Analysis: Model Comparison, Domain Adaptation, and Lexicon Evolution in German Data
Generate synthetic labeled data for extremely low-resource languages using bilingual lexicons.
VADER Sentiment Analysis Tool with C++. Valence Aware Dictionary and sEntiment Reasoner (VADER) is a lexicon and rule-based sentiment tool designed to measure sentiment of text from social media. Originally written in Python, this is a port to C++.
A benchmarking script for comparing machine learning (traditional machine learning, deep learning, transformers) and lexicon approaches.
I performed sentiment analysis aimed at determining the sentiment of 50000 imDB movie reviews, whether they are positive, negative, or neutral. I employed various NLP approaches including lexicon based approaches, machine learning models, PLM models, and hybrid models, and assessed the performance on each type of model.
An exploratory view on the the Wikidata lexicographic data
Analysing Mexico’s President speeches: A study of political propaganda and populist rhetoric using NLP methods
Twitter Sentiment Analysis Using Python
This project focuses on sentiment analysis using Natural Language Processing (NLP) techniques applied to Twitter data. Sentiment analysis is the process of determining the emotional tone behind a piece of text, and in this case, we are analyzing sentiments expressed in tweets.
A complete platform for gathering, pre-processing, and labeling tweets.
Sentiment Analysis using a Lexicon Approach with python
Sentiment Analysis and Text Classification using BERT and Lexicon-based machine learning
Repo for Research in the development a General Purpose Sentiment lexicon for the Yoruba Language for use in carrying out sentiment analysis and opinion mining tasks on texts available in Yoruba. This was done using NLP packages in R and based on Bing Luis Lexicon.
Goodness of Pronunciation Pipelines for OOV Removal
🐦 Sentiment analysis on tweets
This repository contains introductory notebooks for text mining and web scrapping.
Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models
The purpose of creating this application is to help the government, especially the Directorate General of Taxes (DJP) in improving and fixing the problems that exist in the M - Tax application. This application is built using Flask as its framework and uses the Long Short - Term Memory (LSTM) and Lexicon Based algorithms in conducting sentiment …
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