Christina Taft's starred repositories
nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
CrimeKgAssitant
Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.
musiclyrics
https://www.kaylinpavlik.com/50-years-of-pop-music/
Crime-Classification-using-PySpark
classify crime into different categories using PySpark
nlp_preprocessing
Text Preprocessing Package includes cleaning, tokenization, dataset preparation ...etc
spaceappschallenge
Web and mobile application is a collaborative safety network, locating people in danger in real time and tracking them so emergency services can rescue them.
Youtube-Comments-Cyberbully-Detection
In this project we analyze comments in youtube videos using NLP techniques and determine which subjects are prone to harsh comments, trolls, verbal abuse. We will also see who are repeat offenders , correlation between number of likes/dislikes in a video vs the bullying. We then advise the YouTube admins and cyber police as precautionary measures to take.
Social-Media-Inflammable-Intention-Detector
This will detect hatred speech or any other kind of abuse spreading on the social media. This Project is research based project to find out which method is best for implementing this using NLP and Deep Learning.
Emergency-Ally
An App which helps you provide Emergency Level Solutions. ##SLAC hackathon.
Fighting-online-abuse
ML and NLP based project to fight online abuse.
Tweet_Analysis_DomesticAbuse-Covid-19-
Analyzed trending topic in twitter using R
abuse-detector
in accordance to the requirements of CSCE 689 NLP course
Detection-of-HateOffenseAbuse-In-SocialMedia-NLP-Python
The idea is to use various classification algorithms and sentiment analysis to train on twitter and other social media data to develop a model that detects potential cases of cyberbullying or abuse.A classification model was implemented with experiments and analysis carried out for different features and models with about 73% accuracy using random forest with a maximum depth of 60. The analysis and model is explained in the detection-hate-offensive.pdf file which also serves as the technical paper for this research.
The_SHIELD
We are team of engineers working toward the shared goal of mitigating online child abuse using NLP for predicting child grooming pattern
EmerCall
EmerCall is an emergency calling application which contains all the phone numbers a person needs at the time of emergency. The numbers are placed in categorised manner which makes the application simpler to use. This application also allows the user to call from the app itself.
SFCrimeClassification
A machine learning project to classify the crimes based on the the geo location and dates that they occured on.
escapebutton
This is a JavaScript escape button suitable for use by Domestic Abuse Shelters and others
lea-hack-violet
Safe space for women suffering from domestic abuse all around the world.
EWSaeratos
EWSaeratos is a University project developed to increase civil protection. Aeratos team believes that in an emergency situation every second could make the difference, for this reason, we built a desktop application to launch civil warnings in case of an earthquake. Premium users can also get a list of last earthquakes, filtering them by location, distance, and magnitude.
IPV_news_classifier
NLP classification models built using intimate partner violence news articles
intent_detection_slim
Simplified project that allows a trained abuse and intent model to be used to predict the presence of abusive intent.
Female-Safety
Developed a website that will help people to complaint police through this website Whenever there is a child abuse or harassment or domestic violence people can take a picture and upload through website so that police can take a necessary action against them.
fashion_forward
An alert system, under the guise of an online designer clothing store, for domestic abuse victims to discretely report potential partner abuse.