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lexicon

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Description

lexicon is a collection of lexical hash tables, dictionaries, and word lists. The data prefixes help to categorize the data types:

<table> <thead> <tr class="header"> <th>Prefix</th> <th>Meaning</th> </tr> </thead> <tbody> <tr class="odd"> <td><code>key_</code></td> <td>A <code>data.frame</code> with a lookup and return value</td> </tr> <tr class="even"> <td><code>hash_</code></td> <td>A keyed <code>data.table</code> hash table</td> </tr> <tr class="odd"> <td><code>freq_</code></td> <td>A <code>data.table</code> of terms with frequencies</td> </tr> <tr class="even"> <td><code>profanity_</code></td> <td>A profane words <code>vector</code></td> </tr> <tr class="odd"> <td><code>pos_</code></td> <td>A part of speech <code>vector</code></td> </tr> <tr class="even"> <td><code>pos_df_</code></td> <td>A part of speech <code>data.frame</code></td> </tr> <tr class="odd"> <td><code>sw_</code></td> <td>A stopword <code>vector</code></td> </tr> </tbody> </table>

Data

<table style="width:99%;"> <colgroup> <col style="width: 52%" /> <col style="width: 45%" /> </colgroup> <thead> <tr class="header"> <th>Data</th> <th>Description</th> </tr> </thead> <tbody> <tr class="odd"> <td>cliches</td> <td>Common Cliches</td> </tr> <tr class="even"> <td>common_names</td> <td>First Names (U.S.)</td> </tr> <tr class="odd"> <td>constraining_loughran_mcdonald</td> <td>Loughran-McDonald Constraining Words</td> </tr> <tr class="even"> <td>emojis_sentiment</td> <td>Emoji Sentiment Data</td> </tr> <tr class="odd"> <td>freq_first_names</td> <td>Frequent U.S. First Names</td> </tr> <tr class="even"> <td>freq_last_names</td> <td>Frequent U.S. Last Names</td> </tr> <tr class="odd"> <td>function_words</td> <td>Function Words</td> </tr> <tr class="even"> <td>grady_augmented</td> <td>Augmented List of Grady Ward’s English Words and Mark Kantrowitz’s Names List</td> </tr> <tr class="odd"> <td>hash_emojis</td> <td>Emoji Description Lookup Table</td> </tr> <tr class="even"> <td>hash_emojis_identifier</td> <td>Emoji Identifier Lookup Table</td> </tr> <tr class="odd"> <td>hash_emoticons</td> <td>Emoticons</td> </tr> <tr class="even"> <td>hash_grady_pos</td> <td>Grady Ward’s Moby Parts of Speech</td> </tr> <tr class="odd"> <td>hash_internet_slang</td> <td>List of Internet Slang and Corresponding Meanings</td> </tr> <tr class="even"> <td>hash_lemmas</td> <td>Lemmatization List</td> </tr> <tr class="odd"> <td>hash_nrc_emotions</td> <td>NRC Emotion Table</td> </tr> <tr class="even"> <td>hash_sentiment_emojis</td> <td>Emoji Sentiment Polarity Lookup Table</td> </tr> <tr class="odd"> <td>hash_sentiment_huliu</td> <td>Hu Liu Polarity Lookup Table</td> </tr> <tr class="even"> <td>hash_sentiment_jockers</td> <td>Jockers Sentiment Polarity Table</td> </tr> <tr class="odd"> <td>hash_sentiment_jockers_rinker</td> <td>Combined Jockers & Rinker Polarity Lookup Table</td> </tr> <tr class="even"> <td>hash_sentiment_loughran_mcdonald</td> <td>Loughran-McDonald Polarity Table</td> </tr> <tr class="odd"> <td>hash_sentiment_nrc</td> <td>NRC Sentiment Polarity Table</td> </tr> <tr class="even"> <td>hash_sentiment_senticnet</td> <td>Augmented SenticNet Polarity Table</td> </tr> <tr class="odd"> <td>hash_sentiment_sentiword</td> <td>Augmented Sentiword Polarity Table</td> </tr> <tr class="even"> <td>hash_sentiment_slangsd</td> <td>SlangSD Sentiment Polarity Table</td> </tr> <tr class="odd"> <td>hash_sentiment_socal_google</td> <td>SO-CAL Google Polarity Table</td> </tr> <tr class="even"> <td>hash_valence_shifters</td> <td>Valence Shifters</td> </tr> <tr class="odd"> <td>key_contractions</td> <td>Contraction Conversions</td> </tr> <tr class="even"> <td>key_corporate_social_responsibility</td> <td>Nadra Pencle and Irina Malaescu’s Corporate Social Responsibility Dictionary</td> </tr> <tr class="odd"> <td>key_grade</td> <td>Grades Data Set</td> </tr> <tr class="even"> <td>key_rating</td> <td>Ratings Data Set</td> </tr> <tr class="odd"> <td>key_regressive_imagery</td> <td>Colin Martindale’s English Regressive Imagery Dictionary</td> </tr> <tr class="even"> <td>key_sentiment_jockers</td> <td>Jockers Sentiment Data Set</td> </tr> <tr class="odd"> <td>modal_loughran_mcdonald</td> <td>Loughran-McDonald Modal List</td> </tr> <tr class="even"> <td>nrc_emotions</td> <td>NRC Emotions</td> </tr> <tr class="odd"> <td>pos_action_verb</td> <td>Action Word List</td> </tr> <tr class="even"> <td>pos_df_irregular_nouns</td> <td>Irregular Nouns Word Dataframe</td> </tr> <tr class="odd"> <td>pos_df_pronouns</td> <td>Pronouns</td> </tr> <tr class="even"> <td>pos_interjections</td> <td>Interjections</td> </tr> <tr class="odd"> <td>pos_preposition</td> <td>Preposition Words</td> </tr> <tr class="even"> <td>profanity_alvarez</td> <td>Alejandro U. Alvarez’s List of Profane Words</td> </tr> <tr class="odd"> <td>profanity_arr_bad</td> <td>Stackoverflow user2592414’s List of Profane Words</td> </tr> <tr class="even"> <td>profanity_banned</td> <td>bannedwordlist.com’s List of Profane Words</td> </tr> <tr class="odd"> <td>profanity_racist</td> <td>Titus Wormer’s List of Racist Words</td> </tr> <tr class="even"> <td>profanity_zac_anger</td> <td>Zac Anger’s List of Profane Words</td> </tr> <tr class="odd"> <td>sw_dolch</td> <td>Leveled Dolch List of 220 Common Words</td> </tr> <tr class="even"> <td>sw_fry_100</td> <td>Fry’s 100 Most Commonly Used English Words</td> </tr> <tr class="odd"> <td>sw_fry_1000</td> <td>Fry’s 1000 Most Commonly Used English Words</td> </tr> <tr class="even"> <td>sw_fry_200</td> <td>Fry’s 200 Most Commonly Used English Words</td> </tr> <tr class="odd"> <td>sw_fry_25</td> <td>Fry’s 25 Most Commonly Used English Words</td> </tr> <tr class="even"> <td>sw_jockers</td> <td>Matthew Jocker’s Expanded Topic Modeling Stopword List</td> </tr> <tr class="odd"> <td>sw_loughran_mcdonald_long</td> <td>Loughran-McDonald Long Stopword List</td> </tr> <tr class="even"> <td>sw_loughran_mcdonald_short</td> <td>Loughran-McDonald Short Stopword List</td> </tr> <tr class="odd"> <td>sw_lucene</td> <td>Lucene Stopword List</td> </tr> <tr class="even"> <td>sw_mallet</td> <td>MALLET Stopword List</td> </tr> <tr class="odd"> <td>sw_python</td> <td>Python Stopword List</td> </tr> </tbody> </table>

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

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