Chatbots Theory & Practice

Chatbots Theory & Practice

Chatbots Comparative Table

Chatbots Comparative Table

SEO Periodic Table of Success Factors

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Fake News Detection

• Fake News Detection Using Deep Learning
• Deep Learning for Stance Detection in News
• A Hybrid Deep Model for Fake News
• A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
• Automatic Detection of Fake News
• Liar Liar Pants on Fire
• Fake News in Social Networks
• Simple Open Stance Classification for Rumour Analysis
• Evaluation Measures for Relevance and Credibility in Ranked Lists
• Fake News Detection on Social Media
• Probabilistic Graphical Models for Credibility Analysis
• The Spread of Fake News by Social Bots
• Everything I Disagree with is #FakeNews
• A Sneak into the Devil's Colony
• I Want to Believe
• Some Like it Hoax
• This Just In
• Fake News Mitigation via Point Process Based Intervention
• Automatic deception detection: Methods for finding fake news
• the_state_of_automated_factchecking
• Stance Detection with BiDirectional Conditional Encoding
• Emergent: A Novel data-set for stance classification

Datasets:
2016-10-facebook-fact-check
kaggle-fake-news
BuzzFeedNews-everything
liar_dataset
politifact-v2apidoc

Fact Checking Sites:
fullfact.org
politifact
opensecrets
snopes
truthorfiction
hoaxslayer
factcheck
Wikipedia
rationalwiki

Reuters Reports:
The Rise of Fact Checking Sites in Europe

Challenges:
Fake News Challenge
Rumor (Pheme)

Sources:
GDELT
Event Registry
SenticNet
ConceptNet

Word Embedding Training Sources:
CommonCrawl
Gigaword
Wikipedia
ConceptNet
SenticNet

Types of Biases:

bias - cognitive - anchoring

bias - cognitive - apophenia

bias - cognitive - attribution

bias - cognitive - confirmation

bias - cognitive - framing

bias - cognitive - halo effect

bias - cognitive - horn effect

bias - cognitive - self-serving

bias - cognitive - status quo

bias - conflict of interest - bribery

bias - conflict of interest - favortism

bias - conflict of interest - funding

bias - conflict of interest - lobbying

bias - conflict of interest - regulatory issues

bias - conflict of interest - shilling

bias - contextual - academic

bias - contextual - educational

bias - contextual - experimenter

bias - contextual - full text on net

bias - contextual - media

bias - contextual - publication

bias - contextual - reporting bias

bias - media - advertising

bias - media - concision

bias - media - corporate

bias - media - coverage

bias - media - false balance

bias - media - gatekeeping

bias - media - mainstream

bias - media - sensationalism

bias - media - statement

bias - media - structural

bias - prejudice/cultural - classism

bias - prejudice/cultural - lookism

bias - prejudice/cultural - racism

bias - prejudice/cultural - sexism

Types of Fake Content:

accounts

bias - cognitive

bias - conflict of interest

bias - contextual

bias - extreme bias

bias - media

bias - prejudice

bias - statistics

claim - cause/effect

claim - definition

claim - extreme claim

claim - fact

claim - policy

claim - value

clickbait - extremebait

clickbait - headlines

clickbait - linking

conspiracy

credibility

deception

fabricated content

false connection

false context

frequency heuristics

gossip

groups

hate speech

hoaxes

imposter

imprecision

influence

irony

junkscience

manipulated content

misleading content

misuse data

parody

partisanship

plagiarized

poll

poor journalism

proceedwithcaution

profit

propaganda

propagation

provoke

repressive state

reviews

rumor

sarcasm

satire

sentiments

source

spam

sponsored content

trolling

user

website

Neural Network Architectures

Courtesy: Asimov Institute "Neural Network Zoo"

Game of Thrones Season 7

Game Of Thrones Season 7

Video Intelligence

Papers:

• An Improved Algorithm for Video Summarization - A Rank Based Approach
• A Study on Video Summarization Techniques
• Integrating Highlights for More Complete Sports Video Summarization
• Sports Video Summarization using Highlights and Play-Breaks
• Highlights Summarization in Sports Video Based On Replay Detection
• Live Sports Event Detection Based on Broadcast Video and Web-casting Text
• Video Summarization: Techniques and Applications
• Highlight Summarization in Soccer Video based on Goalmouth Detection
• Automatic Summarization of Soccer Highlights Using Audio-visual Descriptors
• Video Summarization with Long Short-term Memory
• Video Summarization using Deep Semantic Features
• A Unified Multi-Faceted Video Summarization System
• Video Summarization via Deep Convolutional Networks
• Video Event Understanding Using Natural Language Descriptions
• Computer Vision and Image Understanding in Big Data
• Efficient Large-Scale Video Classification
• Deep Learning for Video Classification and Captioning
• Deep Learning Methods for Efficient Large Scale Video Labeling
• Large-scale Video Classification with Convolutional Neural Networks
• Sports Videos in the Wild (SVW): A Video Dataset for Sports Analysis
• Browsing Sports Video

Case Studies:
Dextro
Clarafai
Google Video Intelligence
Viisights
MIT Creating Videos of the Future

DataSets & Metadata:
Youtube-8M
IPTC
Kaggle Youtube-8M
Youtube-bb
Sports-1M
SUMME
TVSUM
Virat
Computer Vision
UCF101
CCV

Annotated Semantic Relationship Extraction

Annotated Semantic Relationships Datasets
A survey on Relation Extraction