BrandMentions provides AI-powered sentiment analysis for all languages across the globe, helping international brands understand how audiences feel wherever they are and whatever language they speak.
Supported Languages
BrandMentions’ sentiment analysis engine supports an exceptionally broad range of languages, including but not limited to:
English, Acoli, Afrikaans, Akan, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Balinese, Basque, Belarusian, Bemba, Bengali, Bosnian, Bulgarian, Burmese, Catalan, Cebuano, Central Kurdish, Chichewa, Chinese, Croatian, Czech, Danish, Dutch, Estonian, Ewe, Faroese, Finnish, French, Frisian, Gaa, Galician, Ganda, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hebrew, Hindi, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Kinyarwanda, Kirghiz, Kongo, Korean, Krio, Lao, Latvian, Lingala, Lithuanian, Lozi, Lua, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Morisyen, Northern Sotho, Nepali, Norwegian, Nyankole, Oromo, Panjabi, Punjabi, Persian, Pidgin, Polish, Portuguese, Pushto, Quechua, Romanian, Romansh, Rundi, Russian, Serbian, Seselwa, Shona, Sindhi, Sinhala, Slovak, Slovenian, Somali, Sotho, Spanish, Swahili, Swedish, Tagalog, Tajik, Tamil, Telugu, Thai, Tigrinya, Tonga, Tswana, Tumbuka, Turkish, Turkmen, Ukrainian, Urdu, Uzbek, Vietnamese, Wolof, Xhosa, Yoruba, and Zulu.
BrandMentions aims to make sentiment insights truly global covering languages from every continent and continually expanding as new linguistic datasets become available.
How to Check for a Specific Language
You can easily verify if sentiment analysis is available for your desired language:
Use the Language Filter: In your Mentions Dashboard, select the language you want to analyze.
Check Sentiment Indicators: Choose the sentiment icons (positive, negative, or neutral) to see the exact mentions you need.
Accuracy Across Languages
While BrandMentions maintains excellent global coverage, accuracy may vary slightly among languages due to:
Linguistic Complexity: Some languages rely heavily on tone or context, which can influence interpretation.
Training Data Availability: Languages with larger text datasets (e.g., English, Spanish, French) achieve higher precision.
Cultural Nuances: Sarcasm, idioms, and regional expressions differ across cultures; our AI continually adapts to capture these subtleties.
Despite these nuances, BrandMentions remains one of the most comprehensive multilingual sentiment analysis platforms in the world, offering consistent, reliable insights for global brands.
With BrandMentions, you can understand how audiences feel about your brand in nearly every language spoken worldwide. From English and Arabic to Swahili, Japanese, and Zulu, our AI ensures your sentiment analysis is globally inclusive, contextually accurate, and constantly evolving.