PROMT Text and Document Analysis Technologies provide entity recognition, sentiment analysis and language detection APIs so you can easily integrate natural language processing into your applications and services. The PROMT technologies are based on:
Algorithms of the deep semantic-syntactic analysis of the text
Complex dictionary base (hundreds of semantic classes, thousands of morphological characteristics, hundreds of thousands of word stems and expressions)
The analyzer performs:
Named entity extraction
Extraction of actions and statements
Sentiment analysis –the system determines sentiment of texts, statements and entities
Determination of semantic structure of a document
Language Coverage
English
(Latin),
German
(Latin),
Russian
(Cyrillic),
Arabic
(Arabic),
Bulgarian
(Cyrillic),
Hungarian
(Latin),
Dutch; Flemish
(Latin),
Hebrew
(Hebrew),
Spanish; Castilian
(Latin),
Italian
(Latin),
Kazakh
(Cyrillic),
Chinese
,
Korean
(Korean (alias for Hangul + Han)),
Latvian
(Latin),
Polish
(Latin),
Portuguese
(Latin),
Turkish
(Latin),
Uzbek
,
Ukrainian
(Cyrillic),
Persian
(Arabic),
French
(Latin),
Finnish
(Latin),
Japanese
(Japanese (alias for Han + Hiragana + Katakana)),
Hindi
(Devanagari; Nagari)
