This article describes how to extract content keywords from python. it is applicable to the extraction of English keywords and is very useful. For more information about how to extract content keywords from python, see the following example. Share it with you for your reference. The specific analysis is as follows:
A very efficient python code that extracts content keywords. this code can only be used in English articles. Chinese characters cannot be used because of word segmentation. However,
locate the most likely class tag for the first input, then, use the answer to this question to find the optimal tag for the next input. This process can be repeated until all input is tagged.
The following is an example of continuous classification for part-of-speech tagging:
= {: sentence[i][-1: sentence[i][-2: sentence[i][-3 i ==] = ] = ] = sentence[i-1] = history[i-1 features
= tagged_sent == i, (word, tag) =====>>>tagged_sents = brown.tagged_sents(categories=>>>size = int(len(tagged
. tagger trained in the constructor to add the IOB block tag for the part of speech.
4. Extract the block tag and combine it with the original sentence.
5. combine them into a block tree.
After completing the block annotator, use the block corpus library to train him.
>>>test_sents = conll2000.chunked_sents(,chunk_types=[>>>train_sents = conll2000.chunked_sents(,chunk_types=[>>>unigram_chunker=>>>92.9%79.9%86.8%-Measure: 83.2%
>>>postags= sorted(set
OriginalMark First, try it later.1.NLTKNLTK is a leader in using Python to process natural language tools. It provides an excuse for WordNet to deal with lexical resources conveniently, as well as classification, word segmentation, stem, labeling, grammatical analysis, semantic inference and other class libraries.Websitehttp://www.nltk.org/InstallationInstall NLTK:sudo pip install-u nltkInstall Numpy (optional):sudo pip install-u numpyInstallation test:Nltk2.PatternThe Natural language Processin
Python Natural Language Processing tool summaryBai NingsuNovember 21, 2016 21:45:26
1 Python's several natural language processing tools
NLTK:NLTK is a leader in using Python to process natural language tools. It provides an excuse for WordNet to deal with lexical resources conveniently, as well as classification, word segmentation, stem, labeling, grammatical analysis, semantic inference and other class libraries.
Pattern:pattern's natural language processing tools include the POS t
Effective use of various Toolkit can help researchers get twice the result with half the effort.The following NLP research toolkit is provided by NLP moderators.At the same time, you are welcome to provide more useful toolkit to benefit NLP research in China.* NLP toolboxCLT http://complingone.georgetown.edu /~ Linguist/compling.htmlGate http://gate.ac.uk/Natural Language Toolkit (nltk) http://nltk.orgMallet http://mallet.cs.umass.edu/index.php/Main_PageOpennlp http://opennlp.sourceforge.net/* E
is a annotated tag):
$ git tag-a v1.1 1a410efbd13591db07496601ebc7a059dd55cfe9-m ' Test tag '
This is the SHA-1 value of the object being created:
$ cat. git/refs/tags/v1.1
9585191F37F7B0FB9444F35A9BF50DE191BEADC2
Now you can run the Cat-file command to check this SHA-1 value:
$ git cat-file-p 9585191f37f7b0fb9444f35a9bf50de191beadc2
object 1a410efbd13591db07496601ebc7a059dd55cfe9
Type commit
tag v1.1
tagger Scott Chacon
It is worth noting that
NLP Common open source/free tools
(reproduced from the Water Wood Community NLP Edition)
*computational Linguistics ToolboxCLT http://complingone.georgetown.edu/~linguist/compling.htmlGATE http://gate.ac.uk/Natural Language Toolkit (NLTK) http://nltk.orgMallet Http://mallet.cs.umass.edu/index.php/Main_Page
*english StemmerSnowball http://snowball.tartarus.org/
*english POS TaggerStanford POS Tagger http://nlp.stanford.edu/software/tagger.shtmlTreetag
Community Permissions
Android.permission.MTWEAK_FORUM, allowing the use of Mtweak community permissions
Soft formatting
Android.permission.MASTER_CLEAR, allows the program to perform soft formatting, remove system configuration information
Modify Sound Settings
Android.permission.MODIFY_AUDIO_SETTINGS, modify sound settings information
Modify Phone status
Android.permission.MODIFY_PHONE_STATE, modify phone status, such
HCE Technical Support provides a soft implementation of the SE path, the service is implemented in many ways, can use files, use the network, and even connect real se.Support for HCE's test phone: It is now possible to determine the use of NXP PN547 as a CLF NFC mobile phone has reached the HCE. Currently available on the market are Sony Xperia Z2 and Samsung Galaxy S5.A reference material: http://developer.android.com/guide/topics/connectivity/
open the file selector, click on the file to play. Clearly meet the user's this whole set, can say is a solution. Second, some features can continue to be subdivided, and the subdivision function helps to be more clear and the system environment evaluated. Listing these features, and sequencing, will facilitate the implementation of the business and the estimation of invoking the system interface. 2 Safeguard core functions: two aspects, whether the core function itself is robust, running smoot
daily activities will not affect the extraction of perfect fingerprints. In fact, Qualcomm said that the crystallization of your daily activities can also improve the scanning results, making it a more reliable method than the existing capacitive pressing technology.
Another advantage of acoustic fingerprint extraction technology is that it scans deep skin, which means that fake fingerprints made of wood glue or glued from other planes cannot cheat it.
Another additional benefit is that sound w
Network unicom 3G (WCDMA), Unicom 2g/mobile 2G (GSM)
Support Bands 2g:gsm 850/900/1800/19003G:WCDMA 850/900/1900/2100mhz
Network type is more important, and some businessmen will deceive you that the machine is 3G, or quasi 3G, in fact, only on WiFi.
4G 3G 2G, the big brand will not talk nonsense, to shop to buy verification, with the salesperson to a corresponding card, lay the phone to verify, of course, can also go online to see the speed of the network.
WLAN Features
1. Each hardware abstraction Layer module corresponds to a driver in the kernel, and the Hardware Abstraction Layer module then accesses the hardware device through these drivers, which communicate by reading and writing device files.The module interface source files in the hardware abstraction layer are generally saved in the Hardware/libhardware directory, for convenience, we define the module name of the virtual hardware device Freg in the hardware abstraction layer as Freg, and the directory
)
taggoogle.apk
taggoogle.apk
NFC tag (recommended not to delete, delete the NFC function is not available)
talk.apk
talk.apk
Google Talk (can be deleted, no use, anyway I deleted)
talkback.apk
talkback.apk
Blind assistance (can be deleted, in the auxiliary function, no use, anyway I deleted)
teleph
1) Linux 3.13
Linus Torvalds released Linux Kernel 3.13 some time ago as the opening ceremony in 2014. By convention, this version updates a large number of drivers.
In addition, Linux Kernel 3.13 includes nftable, which is the successor of the famous iptables. From the submitted code, nftables continues to use the existing netfilter hooks, Connection Tracing System, NAT subsystem, transparent proxy engine, log infrastructure, and user space package arrangement facilities.
"In short, nftables pr
the pace of rapid growth began to slow, Apple, the heyday, was under pressure to make changes.Apple Pay, meanwhile, has exposed its ambitions and trend in the mobile-payment world. The most notable highlight of the Apple conference this year is the mobile payment function based on NFC technology. While Apple's senior vice president, Schiller, has publicly denied the prospect of NFC technology, the small-sc
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