GitHub topics: lexicon-based

Repositories

noob-cracker100/data-analysis-portofolio

Analysis Sentiment

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drleniaw/data-analysis-portofolio

Analysis Sentiment

Language: Jupyter Notebook - Size: 450 KB - Last synced at: 18 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

presidenwashil/lexicon-sentiment-analyze-app

This project is a Flask-based web application that performs sentiment analysis using a lexicon-based approach.

Language: HTML - Size: 346 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

sarahboal/System-Design-for-TripAdvisor-Restaurant-Reviews

System Design and Sentiment Analysis of Restaurant Reviews using Natural Language Processing

Language: Python - Size: 15.7 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

munavarhs/RedditDataAnalysis

Discover underlying themes within Reddit posts using Latent Dirichlet Allocation (LDA)

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Alienmaster/MasterThesis

Master Thesis: Enhancing Sentiment Analysis: Model Comparison, Domain Adaptation, and Lexicon Evolution in German Data

Language: Python - Size: 42 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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++.

Language: C++ - Size: 544 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

hammadhadikhan/Sentiment-Analysis-using-Various-NLP-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.

Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

essofyany/darija-and-ar-text-collector-js

A complete platform for gathering, pre-processing, and labeling tweets.

Language: JavaScript - Size: 737 KB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

vrandezo/TheSurroundingOcean

An exploratory view on the the Wikidata lexicographic data

Language: HTML - Size: 853 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

nafisasghari/MMAI891-NLP-assignment

sentiment analysis with Lexicon, Machine Learning and Deep learning methods

Language: Python - Size: 1.05 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

KwokHing/SentimentAnalysis-Python-Demo

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

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 11

Mickeyo0o/MachineLearningSentimentAnalysis

Language: Jupyter Notebook - Size: 3.29 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Agrover112/Goodness-of-Pronunciation-Pipelines-for-OOV-Problem

Goodness of Pronunciation Pipelines for OOV Removal

Language: Perl - Size: 1.61 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

dffesalbon/bert-lexicon-sentiment-analysis

Sentiment Analysis and Text Classification using BERT and Lexicon-based machine learning

Language: Jupyter Notebook - Size: 964 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

lvcruzh/amlo_morning_speeches

Analysing Mexico’s President speeches: A study of political propaganda and populist rhetoric using NLP methods

Size: 10.4 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

anushka23g/Twitter-sentiment-Analysis

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.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 3

jarrodtky/Twitter-API_EDA-SentimentAnalysis_Python

Twitter Sentiment Analysis Using Python

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

Ochecodes/Yorusentilex-Development-of-a-General-Purpose-Sentiment-Lexicon-for-the-Yoruba-language

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.

Language: R - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

idimohammed/Sentiment-Analysis-using-a-Lexicon-Approach-for-under-resourced-languages-

Sentiment Analysis using a Lexicon Approach with python

Language: Python - Size: 188 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

dejongyeong/sentiment-analysis

Final Year Project: Sentiment Analysis Approach for Reputation Evaluation

Language: Python - Size: 132 MB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 4

MohFahmi27/Sentiment-Analysis-for-Bahasa-using-Lexicon-Based-Approach Fork of andisltn48/Pemrograman-Fungsional

This repository about implementation of sentiment analysis using Lexicon Based method.

Language: Python - Size: 746 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

angelainfanta1312/HateSpeechDetection

Language: Jupyter Notebook - Size: 41 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

RadityaRF/Analysis-Sentiment-MPajak

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.

Language: Python - Size: 14.9 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Related Keywords

lexicon-based 33 sentiment-analysis 21 vader-sentiment-analysis 9 nlp 8 python 8 machine-learning 7 natural-language-processing 4 data-analysis 4 textblob 4 word-embeddings 3 twitter 3 text-classification 3 deep-learning 3 preprocessing 3 twitter-api 3 python3 3 topic-modeling 2 bert 2 django 2 dataset 2 text-processing 2 naive-bayes-classifier 2 support-vector-machines 2 classification 2 twitter-sentiment-analysis 2 textblob-sentiment-analysis 2 indonesian 2 data-visualization 2 data-science 2 flask 2 crawling-data 2 colab 2 analysis-sentiment 2 tweepy 1 subjectivity-analysis 1 lstm 1 pajak 1 confusion-matrix 1 hazm 1 lexiconbasedapproach 1 persian-nlp 1 persian-stemmer 1 stemming 1 tokenization 1 cnn 1 chinese-word-embedding 1 stock-price-prediction 1 handwritten-images 1 functional-programming 1 covid-19 1 covid 1 bahasa-indonesia 1 scikit-learn 1 hybrid-approach 1 sentiment 1 analysis 1 rstudio 1 rstats-package 1 polarity-scores 1 opennlp-parser 1 tweepy-api 1 sentinent-analysis 1 hybird-model 1 wordnet 1 youtube-api-v3 1 exploratory-data-analysis 1 data-mining 1 tf-idf 1 cloud-native 1 containerization 1 docker-compose 1 docker-image 1 end-to-end-pipeline 1 mongodb 1 bussiness-intelligence 1 nginx-proxy 1 rules-based 1 vagrant-box 1 scrapy 1 scalable-data-analysis 1 scalable-machine-learning 1 segmentation 1 quantitative-finance 1 analytics 1 annotation-tool 1 python-3 1 dashboard 1 dictionary-based 1 games 1 health 1 just-dance 1 opinion-mining 1 neural-networks 1 qol 1 social-media 1 sql 1 text-mining 1 usability 1 ux 1 data 1