@@ -46,6 +46,8 @@ In this library we have sequences and analyzers.
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@@ -46,6 +46,8 @@ In this library we have sequences and analyzers.
-**[LemmaAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/LemmaAnalyzer.py):** This module provides a class methods for the calculation of different lemma metrics on a sequence. This class inherits from Analyzer.py
-**[LemmaAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/LemmaAnalyzer.py):** This module provides a class methods for the calculation of different lemma metrics on a sequence. This class inherits from Analyzer.py
-**[LexicalDiversityAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/LexicalDiversityAnalyzer.py):** This module provides a class methods for the calculation of different lexical diversity measures. This class inherits from Analyzer.py
-**[POSAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/POSAnalyzer.py):** This module provides a class methods for the calculation of different Part-of-speech metrics on a sequence. This class inherits from Analyzer.py
-**[POSAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/POSAnalyzer.py):** This module provides a class methods for the calculation of different Part-of-speech metrics on a sequence. This class inherits from Analyzer.py
-**[PolarityAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/PolarityAnalyzer.py):** This module provides a class methods for the calculation of the polarity on a sequence. This class inherits from Analyzer.py
-**[PolarityAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/PolarityAnalyzer.py):** This module provides a class methods for the calculation of the polarity on a sequence. This class inherits from Analyzer.py
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@@ -70,7 +72,7 @@ In this library we have sequences and analyzers.
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@@ -70,7 +72,7 @@ In this library we have sequences and analyzers.
-**[NGramsAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/NGramsAnalyzer.py):** This module provides a class methods for the calculation of n-grams and their frequence on a sequence. This class inherits from Analyzer.py
-**[NGramsAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/NGramsAnalyzer.py):** This module provides a class methods for the calculation of n-grams and their frequence on a sequence. This class inherits from Analyzer.py
-**[EmojiAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/EmojiAnalyzer.py.py):** This module provides a class methods for the calculation of different emojis metrics on a sequence. This class inherits from Analyzer.py
-**[EmojiAnalyzer.py](https://gitlab.ujaen.es/jcollado/textflow/blob/master/textflow/EmojiAnalyzer.py):** This module provides a class methods for the calculation of different emojis metrics on a sequence. This class inherits from Analyzer.py
**Note:** All of the analyzers implemented by default are applied to plain text.
**Note:** All of the analyzers implemented by default are applied to plain text.
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@@ -143,6 +145,18 @@ In this section, we introduce the different metrics offered in this Python libra
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@@ -143,6 +145,18 @@ In this section, we introduce the different metrics offered in this Python libra
+**FreqPuntuationMarks:** The frequency of punctuation marks
+**FreqPuntuationMarks:** The frequency of punctuation marks
+**FreqWords:** The frequency of words
+**FreqWords:** The frequency of words
-**LexicalDiversity** It calculates different metrics on lexical diversity:
+**SimpleTTR:** Simple Token-Type Ratio.
+**RootTTR:** Root Token-Type Ratio.
+**LogTTR:** Log Token-Type Ratio.
+**MaasTTR:** Maas Token-Type Ratio.
+**MSTTR:** Mean segmental Token-Type Ratio. The segment size is 50 words.
+**MATTR:** Moving average Token-Type Ratio. The window size is 50 words.
+**HDD:** Hypergeometric distribution D. A more straightforward and reliable implementation of vocD (Malvern, Richards, Chipere, & Duran, 2004) as per McCarthy and Jarvis (2007, 2010).
+**MTLD:** Measure of lexical textual diversity. Calculates MTLD based on McCarthy and Jarvis (2010).
+**MTLDMAWrap:** Measure of lexical textual diversity (moving average, wrap). Calculates MTLD using a moving window approach. Instead of calculating partial factors, it wraps to the beginning of the text to complete the last factors.
+**MTLDMABi:** Measure of lexical textual diversity (moving average, bi-directional). Calculates the average MTLD score by calculating MTLD in each direction using a moving window approach.
-**Polarity:** Polarity score of a text.
-**Polarity:** Polarity score of a text.
+ **label:** the label that predict the polarity model.
+ **label:** the label that predict the polarity model.
