Package index • flaiR

flair

import_flair(): Wrapper for the Flair Python Library

flair_data

Accessing flair.data module from flair.

flair_data(): Import flair.data Module

flair_datasets

Accessing flair.datasets module from flair.

flair_datasets(): Access the flair_datasets Module from Flair

flair_data.Sentence(): Create a Flair Sentence

flair_embeddings

Accessing flair.embeddings module from flair.

flair_embeddings(): Initialization of Flair Embeddings Modules

flair_embeddings.FlairEmbeddings(): Initializing a Class for Flair's Forward and Backward Embeddings

flair_embeddings.TransformerDocumentEmbeddings(): Initializing a Class for TransformerDocumentEmbeddings

flair_embeddings.TransformerWordEmbeddings(): Initializing a Class for TransformerWordEmbeddings

flair_embeddings.WordEmbeddings(): Initializing a Class for Flair WordEmbeddings Class

flair_embeddings.StackedEmbeddings(): Initializing a Class for StackedEmbeddings

flair_nn

Accessing flair.nn module from flair.

flair_nn(): Import Flair's Neural Network Module

flair_nn.Classifier(): Initializing a Class for Flair Classifier

flair_trainers

Accessing flair.trainers module from flair.

flair_trainers(): Import flair.trainers Module in R

flair_splitter

Accessing flair.splitter module from flair.

flair_splitter(): Import flair.splitter Module in R

flair_splitter.SegtokSentenceSplitter(): Segtok Sentence Splitter

flair_models

Accessing flair.models module from flair.

flair_models(): Import the flair.models Python module

flair_models.TextClassifier(): Retrieve TextClassifier from flair.models

flair_models.Sequencetagger(): Access Flair's SequenceTagger

Expanded Feats

Extended functionality for working with three major functions to extract features in data.table.

load_tagger_ner(): Load the Named Entity Recognition (NER) Tagger

load_tagger_pos(): Load Flair POS Tagger

load_tagger_sentiments(): Load a Sentiment or Language Tagger Model from Flair

get_entities(): Tagging Named Entities with Flair Models

get_entities_batch(): Extract Named Entities from a Batch of Texts

get_pos(): Tagging Part-of-Speech Tagging with Flair Models

get_pos_batch(): Batch Process of Part-of-Speech Tagging

get_sentiments(): Tagging Sentiment with Flair Standard Models

get_sentiments_batch(): Batch Process of Tagging Sentiment with Flair Models

Toolbox

flairR utilities

flair_device(): Set Flair Device

highlight_text(): Highlight Entities with Specified Colors and Tag

map_entities(): Create Mapping for NER Highlighting

embeddings_to_matrix(): Convert Embeddings to Matrix

clear_flair_cache(): Clear Flair Cache

show_flair_cache(): Show Flair Cache Preloaed flair's Directory

uninstall_python_package(): Uninstall a Python Package

install_python_package(): Install a Specific Python Package and Return Its Version

Training Dataset

Training dataset for tutorial

cc_muller: Training Data from : The Temporal Focus of Campaign Communication (2020 JOP)

gs_score: Training Data from : When Do Politicians Grandstand? Measuring Message Politics in Committee Hearings (2021 JOP)

hatespeech_zh_tw: Training Data from : Political Hate Speech Detection and Lexicon Building: A Study in Taiwan (IEEE Explore 2022)

de_immigration: German Bundestag Immigration Debate Data

uk_immigration: UK House of Commons Immigration Debate Data

statements: Sampled Grandstanding Text