Pinned Repositories
candy-machine-mint
Fork, config, customize and ship your own candy machine mint app on your own domain, ultra fast.
emojify
Turn your facial expression into an emoji
sentimentr
Context-aware sentiment analysis model for formal and informal social media-style parlance
TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
modarwish1's Repositories
modarwish1/sentimentr
Context-aware sentiment analysis model for formal and informal social media-style parlance
modarwish1/candy-machine-mint
Fork, config, customize and ship your own candy machine mint app on your own domain, ultra fast.
modarwish1/emojify
Turn your facial expression into an emoji
modarwish1/TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
modarwish1/afinn
AFINN sentiment analysis in Python
modarwish1/arweave-image-uploader
Upload NFT metadata to the Arweave network
modarwish1/COVID-FAKES
Bilingual (Arabic/English) COVID-19 Twitter dataset for misleading information detection
modarwish1/csv-to-json-for-candy-machine
Generate JSON metadata files from CSV file. For further use with metaplex candy-machine
modarwish1/ekphrasis
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
modarwish1/emoji-emotion
List of emoji rated for valence in JSON
modarwish1/emot
Open source Emoticons and Emoji detection library: emot
modarwish1/generative-art-node
Create generative art by using the canvas api and node js
modarwish1/implementation
Implementation of models in thesis: GENERATION OF SENTIMENT PROPERTIES OF NATURAL LANGUAGE TERM SENSES USING A FULLY UNSUPERVISED DICTIONARY- BASED APPROACH
modarwish1/lexicon-of-english-verbal-polarity-shifters
Supplementary data for the LREC 2018 paper "Introducing a Lexicon of Verbal Polarity Shifters for English" by Schulder, Wiegand, Ruppenhofer and Köser.
modarwish1/liwc-python
Linguistic Inquiry and Word Count (LIWC) analyzer
modarwish1/MalaySAModel
Unsupervised Malay sentiment analysis model
modarwish1/MalaySentimentLexicon
MalaySentimentLexicon
modarwish1/Nltk-sentiment-analysis
modarwish1/personality-prediction
Experiments for automated personality detection using Language Models and psycholinguistic features on various famous personality datasets including, the essays dataset (Big-Five personality labelled traits)
modarwish1/PhD-work
Contains all the algorithms and generated results of my PhD thesis work
modarwish1/pwgc
tool to load the princeton wordnet gloss corpus
modarwish1/Python-SentiStrength
Python 3 wrapper for SentiStrength. SentiStrength is capable of automatic sentiment analysis of up to 16,000 social web texts per second with up to human level accuracy for English.
modarwish1/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
modarwish1/Sentiment_Analysis_Dictionaries
Sets of dictionaries for sentiment analysis, used in SO-CAL. English and Spanish.
modarwish1/sms_slang_translator
Python Script to abbreviate slangs
modarwish1/SO-CAL
Semantic Orientation Calculator for Sentiment Analysis
modarwish1/socialsentiment
Sentiment Analysis application created with Python and Dash, hosted at socialsentiment.net
modarwish1/twint
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
modarwish1/vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
modarwish1/Valence
Valence: an implementation for experimenting with different approaches to sentiment analysis