lexicon
Table of Contents
Description
lexicon is a collection of lexical hash tables, dictionaries, and word lists. The data prefixes help to categorize the data types:
| Prefix | Meaning |
|---|---|
key_ |
A data.frame with a lookup and return value |
hash_ |
A keyed data.table hash table |
freq_ |
A data.table of terms with frequencies |
profanity_ |
A profane words vector |
pos_ |
A part of speech vector |
pos_df_ |
A part of speech data.frame |
sw_ |
A stopword vector |
Data
| Data | Description |
|---|---|
| cliches | Common Cliches |
| common_names | First Names (U.S.) |
| constraining_loughran_mcdonald | Loughran-McDonald Constraining Words |
| emojis_sentiment | Emoji Sentiment Data |
| freq_first_names | Frequent U.S. First Names |
| freq_last_names | Frequent U.S. Last Names |
| function_words | Function Words |
| grady_augmented | Augmented List of Grady Ward’s English Words and Mark Kantrowitz’s Names List |
| hash_emojis | Emoji Description Lookup Table |
| hash_emojis_identifier | Emoji Identifier Lookup Table |
| hash_emoticons | Emoticons |
| hash_grady_pos | Grady Ward’s Moby Parts of Speech |
| hash_internet_slang | List of Internet Slang and Corresponding Meanings |
| hash_lemmas | Lemmatization List |
| hash_nrc_emotions | NRC Emotion Table |
| hash_sentiment_emojis | Emoji Sentiment Polarity Lookup Table |
| hash_sentiment_huliu | Hu Liu Polarity Lookup Table |
| hash_sentiment_jockers | Jockers Sentiment Polarity Table |
| hash_sentiment_jockers_rinker | Combined Jockers & Rinker Polarity Lookup Table |
| hash_sentiment_loughran_mcdonald | Loughran-McDonald Polarity Table |
| hash_sentiment_nrc | NRC Sentiment Polarity Table |
| hash_sentiment_senticnet | Augmented SenticNet Polarity Table |
| hash_sentiment_sentiword | Augmented Sentiword Polarity Table |
| hash_sentiment_slangsd | SlangSD Sentiment Polarity Table |
| hash_sentiment_socal_google | SO-CAL Google Polarity Table |
| hash_valence_shifters | Valence Shifters |
| key_contractions | Contraction Conversions |
| key_corporate_social_responsibility | Nadra Pencle and Irina Malaescu’s Corporate Social Responsibility Dictionary |
| key_grade | Grades Data Set |
| key_rating | Ratings Data Set |
| key_regressive_imagery | Colin Martindale’s English Regressive Imagery Dictionary |
| key_sentiment_jockers | Jockers Sentiment Data Set |
| modal_loughran_mcdonald | Loughran-McDonald Modal List |
| nrc_emotions | NRC Emotions |
| pos_action_verb | Action Word List |
| pos_df_irregular_nouns | Irregular Nouns Word Dataframe |
| pos_df_pronouns | Pronouns |
| pos_interjections | Interjections |
| pos_preposition | Preposition Words |
| profanity_alvarez | Alejandro U. Alvarez’s List of Profane Words |
| profanity_arr_bad | Stackoverflow user2592414’s List of Profane Words |
| profanity_banned | bannedwordlist.com’s List of Profane Words |
| profanity_racist | Titus Wormer’s List of Racist Words |
| profanity_zac_anger | Zac Anger’s List of Profane Words |
| sw_dolch | Leveled Dolch List of 220 Common Words |
| sw_fry_100 | Fry’s 100 Most Commonly Used English Words |
| sw_fry_1000 | Fry’s 1000 Most Commonly Used English Words |
| sw_fry_200 | Fry’s 200 Most Commonly Used English Words |
| sw_fry_25 | Fry’s 25 Most Commonly Used English Words |
| sw_jockers | Matthew Jocker’s Expanded Topic Modeling Stopword List |
| sw_loughran_mcdonald_long | Loughran-McDonald Long Stopword List |
| sw_loughran_mcdonald_short | Loughran-McDonald Short Stopword List |
| sw_lucene | Lucene Stopword List |
| sw_mallet | MALLET Stopword List |
| sw_python | Python Stopword List |
Installation
To download the development version of lexicon:
Download the zip
ball or tar
ball, decompress and
run R CMD INSTALL on it, or use the pacman package to install the
development version:
if (!require("pacman")) install.packages("pacman")
pacman::p_load_gh("trinker/lexicon")
Contact
You are welcome to:
- submit suggestions and bug-reports at: https://github.com/trinker/lexicon/issues
- send a pull request on: https://github.com/trinker/lexicon/
- compose a friendly e-mail to: [email protected]