Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing channels in an open data ecosystem. A method includes providing one or more graphical user interfaces to a first user of an open data ecosystem. The open data ecosystem includes a plurality of public channels and a plurality of private channels. The users of the open data ecosystem are able to receive messages on each of the plurality of public channels. The method also includes receiving first user input from the first user via the one or more graphical user interfaces. The method further includes configuring one or more channels of the plurality of public channels or the plurality of private channels based on the first user input received from the first user via the one or more graphical user interfaces.

Abstract: Various embodiments described herein facilitate multi-lingual communications. The systems and methods of some embodiments may enable multi-lingual communications through different modes of communications including, for example, Internet-based chat, e-mail, text-based mobile phone communications, postings to online forums, postings to online social media services, and the like. Certain embodiments may implement communications systems and methods that translate text between two or more languages (e.g., spoken), while handling/accommodating for one or more of the following in the text: specialized/domain-related jargon, abbreviations, acronyms, proper nouns, common nouns, diminutives, colloquial words or phrases, and profane words or phrases.

Abstract: Various embodiments described herein facilitate multi-lingual communications. The systems and methods of some embodiments may enable multi-lingual communications through different modes of communications including, for example, Internet-based chat, e-mail, text-based mobile phone communications, postings to online forums, postings to online social media services, and the like. Certain embodiments may implement communications systems and methods that translate text between two or more languages (e.g., spoken), while handling/accommodating for one or more of the following in the text: specialized/domain-related jargon, abbreviations, acronyms, proper nouns, common nouns, diminutives, colloquial words or phrases, and profane words or phrases.

Abstract: Systems and methods for a support game are disclosed. In some embodiments, a method comprises enabling a first player to play a first main game with a first economy, receiving a request to engage in a support game, displaying a first instance of the support game in response to the request, providing a first virtual good to the first player, the first virtual good being usable in the first game, enabling a second player to play a second main game with a second economy, receiving a request to engage in the support game, displaying a second instance of the support game in response to the request, and providing a second virtual good to the second player in response to the second player interacting with the second instance of the support game, the second virtual good being usable in the second game.

Abstract: Computer-implemented systems and methods are provided for suggesting emoticons for insertion into text based on an analysis of sentiment in the text. An example method includes: determining a first sentiment of text in a text field; selecting first text from the text field in proximity to a current position of an input cursor in the text field; identifying one or more candidate emoticons wherein each candidate emoticon is associated with a respective score indicating relevance to the first text and the first sentiment based on, at least, historical user selections of emoticons for insertion in proximity to respective second text having a respective second sentiment; providing one or more candidate emoticons having respective highest scores for user selection; and receiving user selection of one or more of the provided emoticons and inserting the selected emoticons into the text field at the current position of the input cursor.

Abstract: Systems and methods of various embodiments may enable or refine translation of text between a first language and a second language. In particular, systems and methods may enable or refine a text translation by soliciting and/or receiving feedback for: translation of a first word or phrase from a first language to a second language; transformation of the first word or phrase (in the first language) to a second word or phrase in the first language; or transformation of the first word or phrase (in the first language) to a second word or phrase in the second language. The systems and methods of various embodiments may incentivize user feedback for failed translations in order to encourage user feedback, improve the quality of user feedback received, and to permit development of translation corpora that can evolve with time.

Abstract: Various embodiments described herein facilitate multi-lingual communications. The systems and methods of some embodiments may enable multi-lingual communications through different modes of communications including, for example, Internet-based chat, e-mail, text-based mobile phone communications, postings to online forums, postings to online social media services, and the like. Certain embodiments may implement communications systems and methods that translate text between two or more languages (e.g., spoken), while handling/accommodating for one or more of the following in the text: specialized/domain-related jargon, abbreviations, acronyms, proper nouns, common nouns, diminutives, colloquial words or phrases, and profane words or phrases.

Abstract: Computer-implemented systems and methods are provided for suggesting emoticons for insertion into text based on an analysis of sentiment in the text. An example method includes: determining a first sentiment of text in a text field; selecting first text from the text field in proximity to a current position of an input cursor in the text field; identifying one or more candidate emoticons wherein each candidate emoticon is associated with a respective score indicating relevance to the first text and the first sentiment based on, at least, historical user selections of emoticons for insertion in proximity to respective second text having a respective second sentiment; providing one or more candidate emoticons having respective highest scores for user selection; and receiving user selection of one or more of the provided emoticons and inserting the selected emoticons into the text field at the current position of the input cursor.

Abstract: Systems and methods of various embodiments may enable or refine translation of text between a first language and a second language. In particular, systems and methods may enable or refine a text translation by soliciting and/or receiving feedback for: translation of a first word or phrase from a first language to a second language; transformation of the first word or phrase (in the first language) to a second word or phrase in the first language; or transformation of the first word or phrase (in the first language) to a second word or phrase in the second language. The systems and methods of various embodiments may incentivize user feedback for failed translations in order to encourage user feedback, improve the quality of user feedback received, and to permit development of translation corpora that can evolve with time.

Abstract: Various embodiments described herein facilitate multi-lingual communications. The systems and methods of some embodiments may enable multi-lingual communications through different modes of communications including, for example, Internet-based chat, e-mail, text-based mobile phone communications, postings to online forums, postings to online social media services, and the like. Certain embodiments may implement communications systems and methods that translate text between two or more languages (e.g., spoken), while handling/accommodating for one or more of the following in the text: specialized/domain-related jargon, abbreviations, acronyms, proper nouns, common nouns, diminutives, colloquial words or phrases, and profane words or phrases.

Abstract: Various embodiments described herein facilitate multi-lingual communications. The systems and methods of some embodiments enable multi-lingual communications through different modes of communication including, for example, Internet-based chat, e-mail, text-based mobile phone communications, postings to online forums, postings to online social media services, and the like. Certain embodiments implement communication systems and methods that translate text between two or more languages. Users of the systems and methods may be incentivized to submit corrections for inaccurate or erroneous translations, and may receive a reward for these submissions. Systems and methods for assessing the accuracy of translations are described.

Abstract: Systems and methods for a support game are disclosed. In some embodiments, a method comprises enabling a first player to play a first main game with a first economy, receiving a request to engage in a support game, displaying a first instance of the support game in response to the request, providing a first virtual good to the first player, the first virtual good being usable in the first game, enabling a second player to play a second main game with a second economy, receiving a request to engage in the support game, displaying a second instance of the support game in response to the request, and providing a second virtual good to the second player in response to the second player interacting with the second instance of the support game, the second virtual good being usable in the second game.

Abstract: Computer-implemented systems and methods are provided for suggesting emoticons for insertion into text based on an analysis of sentiment in the text. An example method includes: determining a first sentiment of text in a text field; selecting first text from the text field in proximity to a current position of an input cursor in the text field; identifying one or more candidate emoticons wherein each candidate emoticon is associated with a respective score indicating relevance to the first text and the first sentiment based on, at least, historical user selections of emoticons for insertion in proximity to respective second text having a respective second sentiment; providing one or more candidate emoticons having respective highest scores for user selection; and receiving user selection of one or more of the provided emoticons and inserting the selected emoticons into the text field at the current position of the input cursor.

Abstract: Systems and methods of various embodiments may enable or refine translation of text between a first language and a second language. In particular, systems and methods may enable or refine a text translation by soliciting and/or receiving feedback for: translation of a first word or phrase from a first language to a second language; transformation of the first word or phrase (in the first language) to a second word or phrase in the first language; or transformation of the first word or phrase (in the first language) to a second word or phrase in the second language. The systems and methods of various embodiments may incentivize user feedback for failed translations in order to encourage user feedback, improve the quality of user feedback received, and to permit development of translation corpora that can evolve with time.

Abstract: Computer-implemented systems and methods are provided for suggesting emoticons for insertion into text based on an analysis of sentiment in the text. An example method includes: determining a first sentiment of text in a text field; selecting first text from the text field in proximity to a current position of an input cursor in the text field; identifying one or more candidate emoticons wherein each candidate emoticon is associated with a respective score indicating relevance to the first text and the first sentiment based on, at least, historical user selections of emoticons for insertion in proximity to respective second text having a respective second sentiment; providing one or more candidate emoticons having respective highest scores for user selection; and receiving user selection of one or more of the provided emoticons and inserting the selected emoticons into the text field at the current position of the input cursor.

Abstract: Systems and methods of various embodiments may enable or refine translation of text between a first language and a second language. In particular, systems and methods may enable or refine a text translation by soliciting and/or receiving feedback for: translation of a first word or phrase from a first language to a second language; transformation of the first word or phrase (in the first language) to a second word or phrase in the first language; or transformation of the first word or phrase (in the first language) to a second word or phrase in the second language. The systems and methods of various embodiments may incentivize user feedback for failed translations in order to encourage user feedback, improve the quality of user feedback received, and to permit development of translation corpora that can evolve with time.

Abstract: Various embodiments provide a method that comprises receiving a set of segments from a text field, analyzing the set of segments to determine at least one of a target subtext or a target meaning associated with the set of segments, and identifying a set of candidate emoticons where each candidate emoticon in the set of candidate emoticons has an association between the candidate emoticon and at least one of the target subtext or the target meaning. The method may further comprise presenting the set of candidate emoticons for entry selection at a current position of an input cursor, receiving an entry selection for a set of selected emoticons from the set of candidate emoticons, and inserting the set of selected emoticons into the text field at the current position of the input cursor.

Abstract: Systems and methods of various embodiments may enable or refine translation of text between a first language and a second language. In particular, systems and methods may enable or refine a text translation by soliciting and/or receiving feedback for: translation of a first word or phrase from a first language to a second language; transformation of the first word or phrase (in the first language) to a second word or phrase in the first language; or transformation of the first word or phrase (in the first language) to a second word or phrase in the second language. The systems and methods of various embodiments may incentivize user feedback for failed translations in order to encourage user feedback, improve the quality of user feedback received, and to permit development of translation corpora that can evolve with time.

Abstract: Various embodiments provide a method that comprises receiving a set of segments from a text field, analyzing the set of segments to determine at least one of a target subtext or a target meaning associated with the set of segments, and identifying a set of candidate emoticons where each candidate emoticon in the set of candidate emoticons has an association between the candidate emoticon and at least one of the target subtext or the target meaning. The method may further comprise presenting the set of candidate emoticons for entry selection at a current position of an input cursor, receiving an entry selection for a set of selected emoticons from the set of candidate emoticons, and inserting the set of selected emoticons into the text field at the current position of the input cursor.

Abstract: Computer-implemented systems and methods are provided for suggesting emoticons for insertion into text based on an analysis of sentiment in the text. An example method includes: determining a first sentiment of text in a text field; selecting first text from the text field in proximity to a current position of an input cursor in the text field; identifying one or more candidate emoticons wherein each candidate emoticon is associated with a respective score indicating relevance to the first text and the first sentiment based on, at least, historical user selections of emoticons for insertion in proximity to respective second text having a respective second sentiment; providing one or more candidate emoticons having respective highest scores for user selection; and receiving user selection of one or more of the provided emoticons and inserting the selected emoticons into the text field at the current position of the input cursor.