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Pave API Search Results & Alternatives
The spoonacular Nutrition, Recipe, and Food API allows you to access over 365,000 recipes and 86,000 food products. Our food ontology and semantic recipe search engine makes it possible to search for recipes using natural language queries, such as "gluten free brownies without sugar" or "low fat vegan cupcakes." You can automatically calculate the nutritional information for any recipe, analyze recipe costs, visualize ingredient lists, find recipes for what's in your fridge, find recipes based on special diets, nutritional requirements, or favorite ingredients, classify recipes into types and cuisines, convert ingredient amounts, or even compute an entire meal plan. With our powerful API, you can create many kinds of food and especially nutrition apps. Special diets/dietary requirements currently available include: vegan, vegetarian, pescetarian, gluten free, grain free, dairy free, high protein, low sodium, low carb, Paleo, Primal, ketogenic, FODMAP, and Whole 30. We will soon be adding Weight Watcher points, too.
Free Search API with 1 million free queries per month. Web Search More than 2 billion pages indexed. English, German and Chinese results. Sorted by relevancy. News Search News articles from newspapers, magazines and blogs. Sorted by publishing date, with author and article image. Trending News Trending news, grouped by topic. Topics sorted by buzz (number of sources reporting on same topic). One main article per topic + related links. Trending Topics Trending news, grouped by topic. Topics sorted by buzz (number of sources reporting on same topic). All full articles per topic, sorted by publishing time. Suggestions Suggestions with auto completes for query substrings and corrections for misspelled terms.
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RussianSentimentAnalyzer (RSA) is a JSON API based on the technology stack of Insider Solutions company. It is capable of parsing the input text, reconstructing the meaning of messages with typos, like tweets and finding sentiment polarity oriented towards a particular object. Consider an example: I like new GalaxyS, but do not enjoy new iPhone. If there are no objects, the sentiment of this sentence can be detected as NEUTRAL or MIXED. If, however, GalaxyS has been passed in as an object, the sentiment will be POSITIVE. It will be NEGATIVE for iPhone in this particular example. Currently the API supports Russian language with input texts varying from long formal news posts to informal and short tweets. Looking for text analytics APIs? Check the full list here: https://www.mashape.com/dmitrykey
Berify provides you with more results than any other image search. We've developed our own image matching algorithm and collected billions of images to give you not only exact matches but similar matching images. This is great for finding images that have been altered or match in a similar fashion making our service great for marketers, photographers, talent agents, law firms and much, much more.