Not exact matches
Next to, or in front of, the explicit reflected ontology of philosophers, we may already assign to the
natural subject an implicit ontology, as the implicit ontology is chiefly comprehensible in the
natural language; the ontology of scientists takes an intermediate position, which scientists explain to the extent that they become aware of the perception of reality, which their concepts and
models presuppose.
Your breath groups, Margaret, in your
model of
language, might be relevant here, as, if I understand rightly, they are
natural units for taking in hearing, and in that way they could be bounded durations.
We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis approaches, that pay attention to the
language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via
natural language processing
models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).
This fact puts all unsupervised methods based on ontological dictionaries or statistical methods based on
natural language processing (NLP)
models under stress when it comes to accurately capturing sentiment.
The example of classifying rooms according to content, moreover, is similar in structure to a classic problem in
natural language processing called topic
modeling, in which a computer attempts to use the relative frequency of words to classify documents according to topic.
The
model has thus learned to note when you fixate on text in a characteristic pattern which we could not have described in advance,» explains PhD Sigrid Klerke who has just defended her PhD thesis «Glimpsed — improving
natural language processing with gaze data» on how gaze data can be used to improve technology such as machine translation and automatic text simplification.
Lin said the new
model turned out to be a very
natural language to describe the dynamics of eukaryotic gene expression.
INDRA is used to build
models of p53 dynamics, resistance to targeted inhibitors of BRAF in melanoma, and the Ras signaling pathway from
natural language.
The Northwest Academy World Languages Program follows a
natural / communicative
language acquisition
model.
While Montessori, in and of itself, is a unique educational
model, the Latin American Montessori Bilingual (LAMB) Public Charter School pairs it with second
language development and inspires children to learn as part of a
natural process of their development.
Our researchers have expertise in computer adaptive testing, item response theory, covariance structure analysis, meta - analyses, hierarchical
modeling, causal analysis, computational statistics, and
natural language processing (NLP).
Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition,
natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning
models.
Blending HTC's trademark design
language with an all - new HTC Sense user experience that has been reimagined for tablets, the HTC Flyer combines
natural touch and pen interaction in either a combined 3G and WiFi or WiFi - only
model.
A good example is the smart contract
model developed by Barclays and R3, under which contracting terms (in the form of an ISDA master agreement in
natural language) are connected to computer code via parameters (a smart contract template).
They range from new
models for law firm - client relationships to bringing
natural language processing and machine learning to court decisions.
Phrasee «creates localized
models on a client - to - client basis that create
natural language generation algorithms,» according to Roxy Cameron, digital marketing manager for Phrasee.
Alexa has a unique
natural language processing (NLP) voice
model for British English and German.
In addition to the
natural language understanding, the ingested catalog content is used to help train automated speech - recognition (ASR)
models to translate spoken word into the correct text, particularly for more challenging linguistic translations such as principal and principle, which are homophones.
Powered by the Alpha 9 processor on OLED TVs and Alpha 7 on most Super UHD
models, ThinQ allows for
natural language voice searches, and more.