Tag：Dictionary
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Time：2021-6-29
introduce Java has map, which can store data in the form of key value pairs. When taking values, you can get the corresponding values directly through the key, which is convenient and fast. In Objective-C language, dictionaries do such things. Like nsarray, a dictionary object can store different types of values. Dictionaries also have immutable […]
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Time：2021-6-28
introduce Java has map, which can store data in the form of key value pairs. When taking values, you can get the corresponding values directly through the key, which is convenient and fast. In Objective-C language, dictionaries do such things. Like nsarray, a dictionary object can store different types of values. Dictionaries also have immutable […]
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Time：2021-4-26
Absrtact: from the perspective of model and algorithm, this blog introduces emotion analysis model based on statistical method and emotion analysis model based on deep learning. Text sentiment analysis is a process of analyzing, processing and extracting subjective text with emotional color by using natural language processing and text mining technology. At present, the research […]
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Time：2021-2-13
Two issues are involved 1、 Access the folder on disk and the folder under the folder Let’s look at the disk folder structure first There is a root folder named savefile under Disk C, and two subfolders named 2018 and 2019 under savefile, There are two subfolders 18120 and 18131 under the sub file There […]
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Time：2021-2-12
Today, I went to the interview again, but the result is still very sad. I usually pay too much attention to the superficial things, but some of the substance is not very clear. When I encounter the knowledge related to hashtable and dictionary, I want to write it down, hoping to be helpful for later […]
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Time：2020-12-10
Generally, the first way to optimize the efficiency of database retrieval is to start with the index, and then consider more complex load balancing, read-write separation and distributed horizontal / vertical sub database / table according to the demand. The index improves the retrieval efficiency through information redundancy, which exchanges space for time and reduces […]
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Time：2020-11-7
Natural language intelligence (NLP) Natural language intelligence research realizes effective communication between human and computer by language. It is a science integrating linguistics, psychology, computer science, mathematics and statistics. It involves the analysis, extraction, understanding, transformation and production of natural language and formal language. Artificial intelligence can be divided into several stages • computational intelligence […]
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Time：2020-10-2
1. Background Named entity recognition (NER), also known as “proper name recognition”, refers to the identification of entities with specific meaning in the text, mainly including person name, place name, organization name, proper name, etc. Ner is an important basic tool in information extraction, question answering system, syntactic analysis, machine translation, metadata annotation for semantic […]
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Time：2020-10-1
Any classification problem needs to mine useful features from data, and text classification is no exception. Here will introduce several ways to extract features from text, which is also the most basic method to deal with text Text representation In the training process of machine learning algorithm, suppose that given $n $samples, each sample has […]
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Time：2020-9-2
The notes are reproduced in GitHub project：https://github.com/NLP-LOVE/Introduction-NLP 2. Dictionary segmentation Chinese word segmentation: refers to the process of splitting a piece of text into a series of words, and the sequence of these words is equal to the original text. Chinese word segmentation algorithms are roughly divided intoBased on dictionary rulesAndBased on machine learningThese two […]
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Time：2020-9-1
The notes are reproduced in GitHub project：https://github.com/NLP-LOVE/Introduction-NLP 3. Binary grammar and Chinese word segmentation In the last chapter, we realized the dictionary segmentation which is not allowed to be disambiguated. Given two kinds of word segmentation results “goods and services” and “goods and services”, dictionary segmentation does not know which is more reasonable. We humans […]
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Time：2020-4-12
1. Sorteddictionary generic class Sorteddictionary generic class is a binary search tree with O (log n) retrieval complexity, where n is the number of elements in the dictionary. In this regard, it is related toSortedList Generic classes are similar. These two classes have similar object models, and both have o (log n) retrieval complexity. The difference […]
