Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a first performance metric score may be determined based upon first content item text. A plurality of similarity scores associated with a plurality of sets of content item text may be determined. One or more sets of content item text may be selected from among the plurality of sets of content item text based upon the plurality of similarity scores and a plurality of performance metric scores associated with the plurality of sets of content item text. The plurality of performance metric scores may comprise one or more performance metric scores associated with the one or more sets of content item text. The one or more performance metric scores may be higher than the first performance metric score. One or more representations of the one or more sets of content item text may be displayed.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a first performance metric score may be determined based upon first content item text. A plurality of similarity scores associated with a plurality of sets of content item text may be determined. One or more sets of content item text may be selected from among the plurality of sets of content item text based upon the plurality of similarity scores and a plurality of performance metric scores associated with the plurality of sets of content item text. The plurality of performance metric scores may comprise one or more performance metric scores associated with the one or more sets of content item text. The one or more performance metric scores may be higher than the first performance metric score. One or more representations of the one or more sets of content item text may be displayed.

Abstract: The disclosed systems and methods provide a framework for a proactive prediction of the toxic propensity of an article. Prior to the publication and/or reception of comments to online content, the disclosed framework determines the toxic propensity of the content's context and/or specific words, sentences, sentiments, tone or other messages receivable from consumption of the content. Thus, disclosed framework performs proactive forecasting of the content's toxicity propensity”, which quantifies how likely the content is prone to incur or attract toxic comments. The framework can function and/or be configured to operate in a manner that can perform specifically adherent moderation actions that correspond to the content and control how the content can be interacted with, based on the toxic propensity determination, prior to the content's publication in an effort to thwart, prevent or stop toxic environments surrounding or stemming from the content from coming into existence.

Abstract: The present teaching relates to method, system, medium, and implementations for text processing. Upon receiving input data including an original token and a ground truth token label for the original token, a manipulation is applied to the original token to generate a manipulated token based on which to generate manipulated input data. Training data is generated based on the manipulated input data, the ground truth token label, and a ground truth action that, when applied to the manipulated token, yields the original token with the ground truth token label. A text moderation model is trained based on the training data.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a first performance metric score may be determined based upon first content item text. A plurality of similarity scores associated with a plurality of sets of content item text may be determined. One or more sets of content item text may be selected from among the plurality of sets of content item text based upon the plurality of similarity scores and a plurality of performance metric scores associated with the plurality of sets of content item text. The plurality of performance metric scores may comprise one or more performance metric scores associated with the one or more sets of content item text. The one or more performance metric scores may be higher than the first performance metric score. One or more representations of the one or more sets of content item text may be displayed.

Abstract: The present teaching relates to method, system, medium, and implementations for text processing. Upon receiving input data including a plurality of text strings, a plurality of manipulated text strings are generated for each of the plurality of training text strings by first applying a manipulation to each of at least one original token in the text string to generate a manipulated token, where the original token has a ground truth token label and then determining, with respect to each manipulated token, a ground truth action which, when applied to the manipulated token, yields the original token with the ground truth token label.

Abstract: The present teaching relates to method, system, medium, and implementations for text processing. Upon receiving input data including a plurality of text strings, a plurality of manipulated text strings are generated for each of the plurality of training text strings by first applying a manipulation to each of at least one original token in the text string to generate a manipulated token, where the original token has a ground truth token label and then determining, with respect to each manipulated token, a ground truth action which, when applied to the manipulated token, yields the original token with the ground truth token label.

Abstract: A thermo-compression head, a soldering system, and a LED tube lamp are disclosed. The thermo-compression head includes a bonding plane, a restraining plane, one or more concave guiding tank, and one or more concave molding tank. The bonding plane is for touching a second object. The restraining plane is adjacent to the bonding plane for touching a first object soldered to the second object. The concave guiding tank is formed on the bonding plane. An end of the concave guiding tank is opened near an edge of the bonding plane while an opposite end of the concave guiding tank is closed. The concave molding tank is formed on the restraining plane and positioned beside the concave guiding tank. The concave molding tank communicates with the concave guiding tank via the open end of the concave guiding tank.

Abstract: A thermo-compression head, a soldering system, and a LED tube lamp are disclosed. The thermo-compression head includes a bonding plane, a restraining plane, one or more concave guiding tank, and one or more concave molding tank. The bonding plane is for touching a second object. The restraining plane is adjacent to the bonding plane for touching a first object soldered to the second object. The concave guiding tank is formed on the bonding plane. An end of the concave guiding tank is opened near an edge of the bonding plane while an opposite end of the concave guiding tank is closed. The concave molding tank is formed on the restraining plane and positioned beside the concave guiding tank. The concave molding tank communicates with the concave guiding tank via the open end of the concave guiding tank.

Abstract: The disclosure provides an LED tube lamp, comprising a tube, a terminal adapter circuit, a first rectifying circuit, a filtering circuit, an LED lighting module and an anti-flickering circuit. The tube has a first pin and a second pin for receiving an external driving signal. The terminal adapter circuit has two fuses respectively coupled to the first and second pins. The first rectifying circuit is coupled to the first and second pins for rectifying the external driving signal to generate a rectified signal. The filtering circuit is coupled to the first rectifying circuit for filtering the rectified signal to generate a filtered signal. The LED lighting module is coupled to the filtering circuit and the LED lighting module having a LED module, wherein the LED lighting module is configured to receive the filtered signal and generate a driving signal, and the LED module receives the driving signal and lights.

Abstract: A light-emitting diode (LED) tube lamp comprises a lamp tube, a first rectifying circuit, a filtering circuit and an LED driving module. The lamp tube has a first pin and a second pin for receiving an external driving signal. The first rectifying circuit is coupled to the first and second pins, for rectifying the external driving signal to produce a rectified signal. The filtering circuit is coupled to the first rectifying circuit, for filtering the rectified signal to produce a filtered signal. The LED driving module is coupled to the filtering circuit to receive the filtered signal for emitting light. Wherein, the filtering circuit includes a capacitor and an inductor connected in parallel and between one of the first and second pins and the first rectifying circuit, and the parallel-connected capacitor and inductor are configured for presenting a peak equivalent impedance to the external driving signal at a specific frequency.