There are 0 repository under lexicon-based topic.
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
Goodness of Pronunciation Pipelines for OOV Removal
Generate synthetic labeled data for extremely low-resource languages using bilingual lexicons.
In this project we have built a model which takes a dataset as an input andas an output gives the percentage of posive ,negative and neutral tweets in the given dataset. It is done using natural language processing library using scikit learn machine learning libraries such as textblob.
Final Year Project: Sentiment Analysis Approach for Reputation Evaluation
Simple lexicon-based persian sentiment analysis
This repository contains introductory notebooks for text mining and web scrapping.
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 analysis.
An exploratory view on the the Wikidata lexicographic data
Lexicon-based sentiment analysis on Malay tweets that pulled from Twitter. My final year project in 2020.
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 complete platform for gathering, pre-processing, and labeling tweets.
This repository about implementation of sentiment analysis using Lexicon Based method.
sentiment analysis with Lexicon, Machine Learning and Deep learning methods
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.
Lexicon based segmentation of cursive handwritten images, and recognizing the characters using deep learning model.
Investment Decision Support System
PhD Anastasios Liapakis
Sentiment Analysis and Text Classification using BERT and Lexicon-based machine learning
Topic: Opinion Mining and Summarization of Hotel Reviews
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.
Group project analyzing news sentiment of articles from The New York Times archives from 2015 to 2017. The app provides visualizations to understand sentiment trends over time, space and categories using Natural Language Processing, and allows user interactivity (@iCode13 worked on the geovizzes and contributed to frontend development). UT Austin Bootcamp.
Source code of paper "Incorporating prior knowledge into word embedding for Chinese word similarity measurement", accepted by ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP).
Two lexicon-based sentiment analyzers: TextBlob and Vader.
Analysing Mexico’s President speeches: A study of political propaganda and populist rhetoric using NLP methods
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.
Analysing Usability, User Experience, and Perceived Health Impacts related to Quality of Life based on Users' Opinion Mining: a case study with Just Dance on YouTube
🐦 Sentiment analysis on tweets
Sentiment Analysis using a Lexicon Approach with python
Twitter Sentiment Analysis Using Python
A cloud-based tool for sentiment analysis in reviews about restaurants on TripAdvisor