MixedEmotions/13_topic_extraction

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Created about 8 years ago
Updated almost 8 years ago

MixedEmotions/13_topic_extraction

MixedEmotions

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Topic extraction service.

MixedEmotions

Documentation for the MixedEmotions Toolbox

knowledge-graph

Creates knowledge graph from information processed by "Entity Extraction and Linking" module, and "Emotion Recognition from Text" module

up_emotions_audio

This module aims to extract emotions from audio. The input argument is either an uploaded audio/video file to the server or a URL. The output is the predicted emotion in terms of Arousal and Valence within the JSON-LD format.

twitter_crawlers

MixedEmotions module that connects to the Twitter Stream API in order to retrieve Tweets regarding certain keywords or phrases

but_sentiment

Java wrapper around several sentiment analysis tools, that was created for MixedEmotions project, created by BUT.

JSON-LD_schema

JSON-LD based format for representation of emotion, sentiment, entities and other results of language analysis in the MixedEmotions project.

entity-linking

Orchestrator

An example orchestrator to interact with the MixedEmotions' modules.

NUIG-suggestion

Predicts whether a given text contains a suggestion or not. Given text can be a tweet or a sentence.

05_emotion_hashtags_nuig

Jupyter Notebook

marathon_configurations

Marathon configuration files for the different MixedEmotions modules that have been dockerized and uploaded to MixedEmotions' Dockerhub.

27_emotion_video_dcu

youtube_downloader

05_emotion_wassa_nuig

Jupyter Notebook

projectManager

Example for executing MixedEmotions' orchestrator

NUIG-sentiment

A python based sentiment predictor for tweets. Uses LSTM and pre-trained embeddings.

08_entity_extraction_es

Service for entity extraction