An electronic device capable of efficiently recognizing a handwritten character is provided. The electronic device includes a first circuit, a display portion, and a touch sensor. The first circuit includes a neural network. The display portion includes a flexible display. The touch sensor has the function of outputting an input handwritten character as image information to the first circuit. The first circuit has the function of analyzing the image information and converting the image information into character information, and a function of displaying an image including the character information on the display portion. The analysis is performed by inference through the use of the neural network.

An electronic device capable of efficiently recognizing a handwritten character is provided. The electronic device includes a first circuit, a display portion, and a touch sensor. The first circuit includes a neural network. The display portion includes a flexible display. The touch sensor has the function of outputting an input handwritten character as image information to the first circuit. The first circuit has the function of analyzing the image information and converting the image information into character information, and a function of displaying an image including the character information on the display portion. The analysis is performed by inference through the use of the neural network.

The invention relates to a method implemented by a computing device for processing math and text in handwriting, comprising: identifying symbols by performing handwriting recognition on a plurality of strokes; classifying, as a first classification, first symbols as either a text symbol candidate or a math symbol candidate with a confidence score reaching a first threshold; classifying, as a second classification, second symbols other than first symbols as either a text symbol candidate or a math symbol candidate with a respective confidence score by applying predefined spatial syntactic rules; updating or confirming, as a third classification, a result of the second classification by establishing semantic connections between symbols and comparing the semantic connections with the result of the second classification; and recognising each symbol as either text or math based on a result of said third classification.

One aspect of the present disclosure relates to a method of sentiment analysis based on ambiguity analysis, which includes analyzing information with the sentiment analysis models and the ambiguity analysis models. Another aspect of the present disclosure relates to a method of training the sentiment analysis models and ambiguity analysis models, which includes acquiring information, constructing lexicons, conducting sentiment analysis and ambiguity analysis with said lexicons, acquiring corpus, and training models, etc. Meanwhile, another aspect of the present disclosure relates to a system of sentiment analysis, which includes input, and output modules, acquisition modules, processing modules and database.

An electronic device, when in a first tilted state, displays a content page in a sketch mode, which includes displaying a zoomed view of a portion of the content page, and configuring the zoomed view of the portion of the content page to accept user inputs modifying content in the first portion of the content page. While displaying the content page in the sketch mode, the device detects that it is tilted from the first tilted state to a distinct second tilted state, and in response, displays the content page in an overview mode, which includes zooming out to display an overview of the content page. Optionally, displaying the content page in the overview mode includes displaying an input position indicator over the overview of the content page to indicate the portion of the content page previously displayed in the zoomed view.

An electronic device, when in a first tilted state, displays a content page in a sketch mode, which includes displaying a zoomed view of a portion of the content page, and configuring the zoomed view of the portion of the content page to accept user inputs modifying content in the first portion of the content page. While displaying the content page in the sketch mode, the device detects that it is tilted from the first tilted state to a distinct second tilted state, and in response, displays the content page in an overview mode, which includes zooming out to display an overview of the content page. Optionally, displaying the content page in the overview mode includes displaying an input position indicator over the overview of the content page to indicate the portion of the content page previously displayed in the zoomed view.

An electronic device is disclosed. The electronic device comprises a storage unit for storing a training model of a multi-dimensional long short-term memory (MDLSTM), and a processor for acquiring an image including at least one of handwritten text and printed text, identifying each text line region in the image through image processing, and recognizing text included in the each identified text line region, on the basis of the training model.

A display apparatus includes circuitry to receive an input of hand drafted data, display, on a display, an object corresponding to the hand drafted data and an external image that is externally input, perform character recognition on the hand drafted data to convert the hand drafted data into text data, and display, on the display, a search result obtained using at least a part of the external image and at least a part of the text data.

A display apparatus includes circuitry to receive an input of hand drafted data, display, on a display, an object corresponding to the hand drafted data and an external image that is externally input, perform character recognition on the hand drafted data to convert the hand drafted data into text data, and display, on the display, a search result obtained using at least a part of the external image and at least a part of the text data.

A touch driving device and a touch movement track identification method are provided. The touch driving device includes a touch sensing circuit and a touch control circuit. The touch sensing circuit receives touch sensing signals from a touch sensor array when a touch display screen is operated in a display power saving mode, and generates digital touch sensing data according to the touch sensing signals. The touch control circuit periodically generates touch coordinates according to the digital touch sensing data, identifies whether an input symbol corresponding to a touch movement track formed by the touch coordinates generated consecutively matches a preconfigured symbol, and outputs a matching result to a core processing unit of the electronic device. The touch coordinates are generated when the orientation of the input symbol drawn on the touch display screen is not the same as a screen orientation of the touch display screen.